Functions
void	tesseract::TessBaseAPI::SetImage (const unsigned char *imagedata, int width, int height, int bytes_per_pixel, int bytes_per_line)

void	tesseract::TessBaseAPI::SetImage (Pix *pix)

void	tesseract::TessBaseAPI::SetSourceResolution (int ppi)

void	tesseract::TessBaseAPI::SetRectangle (int left, int top, int width, int height)

void	tesseract::TessBaseAPI::SetThresholder (ImageThresholder *thresholder)

Pix *	tesseract::TessBaseAPI::GetThresholdedImage ()

Boxa *	tesseract::TessBaseAPI::GetRegions (Pixa **pixa)

Boxa *	tesseract::TessBaseAPI::GetTextlines (const bool raw_image, const int raw_padding, Pixa pixa, int blockids, int **paraids)

Boxa *	tesseract::TessBaseAPI::GetTextlines (Pixa pixa, int blockids)

Boxa *	tesseract::TessBaseAPI::GetStrips (Pixa pixa, int blockids)

Boxa *	tesseract::TessBaseAPI::GetWords (Pixa **pixa)

Boxa *	tesseract::TessBaseAPI::GetConnectedComponents (Pixa **cc)

Boxa *	tesseract::TessBaseAPI::GetComponentImages (const PageIteratorLevel level, const bool text_only, const bool raw_image, const int raw_padding, Pixa pixa, int blockids, int **paraids)

Boxa *	tesseract::TessBaseAPI::GetComponentImages (const PageIteratorLevel level, const bool text_only, Pixa pixa, int blockids)

int	tesseract::TessBaseAPI::GetThresholdedImageScaleFactor () const

void	tesseract::TessBaseAPI::DumpPGM (const char *filename)

PageIterator *	tesseract::TessBaseAPI::AnalyseLayout ()

PageIterator *	tesseract::TessBaseAPI::AnalyseLayout (bool merge_similar_words)

int	tesseract::TessBaseAPI::Recognize (ETEXT_DESC *monitor)

int	tesseract::TessBaseAPI::RecognizeForChopTest (ETEXT_DESC *monitor)

bool	tesseract::TessBaseAPI::ProcessPages (const char filename, const char retry_config, int timeout_millisec, TessResultRenderer *renderer)

bool	tesseract::TessBaseAPI::ProcessPagesInternal (const char filename, const char retry_config, int timeout_millisec, TessResultRenderer *renderer)

bool	tesseract::TessBaseAPI::ProcessPage (Pix pix, int page_index, const char filename, const char retry_config, int timeout_millisec, TessResultRenderer renderer)

ResultIterator *	tesseract::TessBaseAPI::GetIterator ()

MutableIterator *	tesseract::TessBaseAPI::GetMutableIterator ()

char *	tesseract::TessBaseAPI::GetUTF8Text ()

char *	tesseract::TessBaseAPI::GetHOCRText (int page_number)

char *	tesseract::TessBaseAPI::GetBoxText (int page_number)

char *	tesseract::TessBaseAPI::GetUNLVText ()

int	tesseract::TessBaseAPI::MeanTextConf ()

int *	tesseract::TessBaseAPI::AllWordConfidences ()

bool	tesseract::TessBaseAPI::AdaptToWordStr (PageSegMode mode, const char *wordstr)

void	tesseract::TessBaseAPI::Clear ()

void	tesseract::TessBaseAPI::End ()

static void	tesseract::TessBaseAPI::ClearPersistentCache ()

int	tesseract::TessBaseAPI::IsValidWord (const char *word)

bool	tesseract::TessBaseAPI::IsValidCharacter (const char *utf8_character)

bool	tesseract::TessBaseAPI::GetTextDirection (int out_offset, float out_slope)

void	tesseract::TessBaseAPI::SetDictFunc (DictFunc f)

void	tesseract::TessBaseAPI::SetProbabilityInContextFunc (ProbabilityInContextFunc f)

void	tesseract::TessBaseAPI::SetFillLatticeFunc (FillLatticeFunc f)

bool	tesseract::TessBaseAPI::DetectOS (OSResults *)

void	tesseract::TessBaseAPI::GetFeaturesForBlob (TBLOB blob, INT_FEATURE_STRUCT int_features, int num_features, int feature_outline_index)

static ROW *	tesseract::TessBaseAPI::FindRowForBox (BLOCK_LIST *blocks, int left, int top, int right, int bottom)

void	tesseract::TessBaseAPI::RunAdaptiveClassifier (TBLOB blob, int num_max_matches, int unichar_ids, float ratings, int num_matches_returned)

const char *	tesseract::TessBaseAPI::GetUnichar (int unichar_id)

const Dawg *	tesseract::TessBaseAPI::GetDawg (int i) const

int	tesseract::TessBaseAPI::NumDawgs () const

static ROW *	tesseract::TessBaseAPI::MakeTessOCRRow (float baseline, float xheight, float descender, float ascender)

static TBLOB *	tesseract::TessBaseAPI::MakeTBLOB (Pix *pix)

static void	tesseract::TessBaseAPI::NormalizeTBLOB (TBLOB tblob, ROW row, bool numeric_mode)

Tesseract *const	tesseract::TessBaseAPI::tesseract () const

OcrEngineMode const	tesseract::TessBaseAPI::oem () const

void	tesseract::TessBaseAPI::InitTruthCallback (TruthCallback *cb)

CubeRecoContext *	tesseract::TessBaseAPI::GetCubeRecoContext () const

void	tesseract::TessBaseAPI::set_min_orientation_margin (double margin)

void	tesseract::TessBaseAPI::GetBlockTextOrientations (int block_orientation, bool vertical_writing)

BLOCK_LIST *	tesseract::TessBaseAPI::FindLinesCreateBlockList ()

static void	tesseract::TessBaseAPI::DeleteBlockList (BLOCK_LIST *block_list)

Detailed Description

The following methods break TesseractRect into pieces, so you can get hold of the thresholded image, get the text in different formats, get bounding boxes, confidences etc.

Function Documentation

bool tesseract::TessBaseAPI::AdaptToWordStr	(	PageSegMode	mode,
		const char *	wordstr
	)

Applies the given word to the adaptive classifier if possible. The word must be SPACE-DELIMITED UTF-8 - l i k e t h i s , so it can tell the boundaries of the graphemes. Assumes that SetImage/SetRectangle have been used to set the image to the given word. The mode arg should be PSM_SINGLE_WORD or PSM_CIRCLE_WORD, as that will be used to control layout analysis. The currently set PageSegMode is preserved. Returns false if adaption was not possible for some reason.

Definition at line 1784 of file baseapi.cpp.

                                                                       {
   int debug = 0;
   GetIntVariable("applybox_debug", &debug);
   bool success = true;
   PageSegMode current_psm = GetPageSegMode();
   SetPageSegMode(mode);
   SetVariable("classify_enable_learning", "0");
   char* text = GetUTF8Text();
   if (debug) {
     tprintf("Trying to adapt \"%s\" to \"%s\"\n", text, wordstr);
   }
   if (text != NULL) {
     PAGE_RES_IT it(page_res_);
     WERD_RES* word_res = it.word();
     if (word_res != NULL) {
       word_res->word->set_text(wordstr);
     } else {
       success = false;
     }
     // Check to see if text matches wordstr.
     int w = 0;
     int t = 0;
     for (t = 0; text[t] != '\0'; ++t) {
       if (text[t] == '\n' || text[t] == ' ')
         continue;
       while (wordstr[w] != '\0' && wordstr[w] == ' ')
         ++w;
       if (text[t] != wordstr[w])
         break;
       ++w;
     }
     if (text[t] != '\0' || wordstr[w] != '\0') {
       // No match.
       delete page_res_;
       GenericVector<TBOX> boxes;
       page_res_ = tesseract_->SetupApplyBoxes(boxes, block_list_);
       tesseract_->ReSegmentByClassification(page_res_);
       tesseract_->TidyUp(page_res_);
       PAGE_RES_IT pr_it(page_res_);
       if (pr_it.word() == NULL)
         success = false;
       else
         word_res = pr_it.word();
     } else {
       word_res->BestChoiceToCorrectText();
     }
     if (success) {
       tesseract_->EnableLearning = true;
       tesseract_->LearnWord(NULL, word_res);
     }
     delete [] text;
   } else {
     success = false;
   }
   SetPageSegMode(current_psm);
   return success;
 }

int * tesseract::TessBaseAPI::AllWordConfidences ( )

Returns all word confidences (between 0 and 100) in an array, terminated by -1. The calling function must delete [] after use. The number of confidences should correspond to the number of space- delimited words in GetUTF8Text.

Returns an array of all word confidences, terminated by -1.

Definition at line 1750 of file baseapi.cpp.

                                      {
   if (tesseract_ == NULL ||
       (!recognition_done_ && Recognize(NULL) < 0))
     return NULL;
   int n_word = 0;
   PAGE_RES_IT res_it(page_res_);
   for (res_it.restart_page(); res_it.word() != NULL; res_it.forward())
     n_word++;
 
   int* conf = new int[n_word+1];
   n_word = 0;
   for (res_it.restart_page(); res_it.word() != NULL; res_it.forward()) {
     WERD_RES *word = res_it.word();
     WERD_CHOICE* choice = word->best_choice;
     int w_conf = static_cast<int>(100 + 5 * choice->certainty());
                  // This is the eq for converting Tesseract confidence to 1..100
     if (w_conf < 0) w_conf = 0;
     if (w_conf > 100) w_conf = 100;
     conf[n_word++] = w_conf;
   }
   conf[n_word] = -1;
   return conf;
 }

PageIterator* tesseract::TessBaseAPI::AnalyseLayout ( )

inline

Runs page layout analysis in the mode set by SetPageSegMode. May optionally be called prior to Recognize to get access to just the page layout results. Returns an iterator to the results. If merge_similar_words is true, words are combined where suitable for use with a line recognizer. Use if you want to use AnalyseLayout to find the textlines, and then want to process textline fragments with an external line recognizer. Returns NULL on error or an empty page. The returned iterator must be deleted after use. WARNING! This class points to data held within the TessBaseAPI class, and therefore can only be used while the TessBaseAPI class still exists and has not been subjected to a call of Init, SetImage, Recognize, Clear, End DetectOS, or anything else that changes the internal PAGE_RES.

Definition at line 498 of file baseapi.h.

                                 {
     return AnalyseLayout(false);
   }

PageIterator * tesseract::TessBaseAPI::AnalyseLayout ( bool merge_similar_words )

Runs page layout analysis in the mode set by SetPageSegMode. May optionally be called prior to Recognize to get access to just the page layout results. Returns an iterator to the results. If merge_similar_words is true, words are combined where suitable for use with a line recognizer. Use if you want to use AnalyseLayout to find the textlines, and then want to process textline fragments with an external line recognizer. Returns NULL on error or an empty page. The returned iterator must be deleted after use. WARNING! This class points to data held within the TessBaseAPI class, and therefore can only be used while the TessBaseAPI class still exists and has not been subjected to a call of Init, SetImage, Recognize, Clear, End DetectOS, or anything else that changes the internal PAGE_RES.

Definition at line 812 of file baseapi.cpp.

                                                                  {
   if (FindLines() == 0) {
     if (block_list_->empty())
       return NULL;  // The page was empty.
     page_res_ = new PAGE_RES(merge_similar_words, block_list_, NULL);
     DetectParagraphs(false);
     return new PageIterator(
         page_res_, tesseract_, thresholder_->GetScaleFactor(),
         thresholder_->GetScaledYResolution(),
         rect_left_, rect_top_, rect_width_, rect_height_);
   }
   return NULL;
 }

void tesseract::TessBaseAPI::Clear ( )

Free up recognition results and any stored image data, without actually freeing any recognition data that would be time-consuming to reload. Afterwards, you must call SetImage or TesseractRect before doing any Recognize or Get* operation.

Definition at line 1848 of file baseapi.cpp.

                         {
   if (thresholder_ != NULL)
     thresholder_->Clear();
   ClearResults();
   SetInputImage(NULL);
 }

void tesseract::TessBaseAPI::ClearPersistentCache ( )

static

Clear any library-level memory caches. There are a variety of expensive-to-load constant data structures (mostly language dictionaries) that are cached globally – surviving the Init() and End() of individual TessBaseAPI's. This function allows the clearing of these caches.

Definition at line 1920 of file baseapi.cpp.

                                        {
   Dict::GlobalDawgCache()->DeleteUnusedDawgs();
 }

void tesseract::TessBaseAPI::DeleteBlockList ( BLOCK_LIST * block_list )

static

Delete a block list. This is to keep BLOCK_LIST pointer opaque and let go of including the other headers.

Definition at line 2273 of file baseapi.cpp.

                                                         {
   delete block_list;
 }

bool tesseract::TessBaseAPI::DetectOS ( OSResults * osr )

Estimates the Orientation And Script of the image.

Returns: true if the image was processed successfully.

Estimates the Orientation And Script of the image. Returns true if the image was processed successfully.

Definition at line 2184 of file baseapi.cpp.

                                          {
   if (tesseract_ == NULL)
     return false;
   ClearResults();
   if (tesseract_->pix_binary() == NULL)
     Threshold(tesseract_->mutable_pix_binary());
   if (input_file_ == NULL)
     input_file_ = new STRING(kInputFile);
   return orientation_and_script_detection(*input_file_, osr, tesseract_);
 }

void tesseract::TessBaseAPI::DumpPGM ( const char * filename )

Dump the internal binary image to a PGM file.

Deprecated:: Use GetThresholdedImage and write the image using pixWrite instead if possible.

Dump the internal binary image to a PGM file.

Definition at line 732 of file baseapi.cpp.

                                               {
   if (tesseract_ == NULL)
     return;
   FILE *fp = fopen(filename, "wb");
   Pix* pix = tesseract_->pix_binary();
   int width = pixGetWidth(pix);
   int height = pixGetHeight(pix);
   l_uint32* data = pixGetData(pix);
   fprintf(fp, "P5 %d %d 255\n", width, height);
   for (int y = 0; y < height; ++y, data += pixGetWpl(pix)) {
     for (int x = 0; x < width; ++x) {
       uinT8 b = GET_DATA_BIT(data, x) ? 0 : 255;
       fwrite(&b, 1, 1, fp);
     }
   }
   fclose(fp);
 }

void tesseract::TessBaseAPI::End ( )

Close down tesseract and free up all memory. End() is equivalent to destructing and reconstructing your TessBaseAPI. Once End() has been used, none of the other API functions may be used other than Init and anything declared above it in the class definition.

Definition at line 1861 of file baseapi.cpp.

                       {
   if (thresholder_ != NULL) {
     delete thresholder_;
     thresholder_ = NULL;
   }
   if (page_res_ != NULL) {
     delete page_res_;
     page_res_ = NULL;
   }
   if (block_list_ != NULL) {
     delete block_list_;
     block_list_ = NULL;
   }
   if (paragraph_models_ != NULL) {
     paragraph_models_->delete_data_pointers();
     delete paragraph_models_;
     paragraph_models_ = NULL;
   }
   if (tesseract_ != NULL) {
     delete tesseract_;
     if (osd_tesseract_ == tesseract_)
       osd_tesseract_ = NULL;
     tesseract_ = NULL;
   }
   if (osd_tesseract_ != NULL) {
     delete osd_tesseract_;
     osd_tesseract_ = NULL;
   }
   if (equ_detect_ != NULL) {
     delete equ_detect_;
     equ_detect_ = NULL;
   }
   if (input_file_ != NULL) {
     delete input_file_;
     input_file_ = NULL;
   }
   if (input_image_ != NULL) {
     pixDestroy(&input_image_);
     input_image_ = NULL;
   }
   if (output_file_ != NULL) {
     delete output_file_;
     output_file_ = NULL;
   }
   if (datapath_ != NULL) {
     delete datapath_;
     datapath_ = NULL;
   }
   if (language_ != NULL) {
     delete language_;
     language_ = NULL;
   }
 }

BLOCK_LIST * tesseract::TessBaseAPI::FindLinesCreateBlockList ( )

Find lines from the image making the BLOCK_LIST.

Definition at line 2261 of file baseapi.cpp.

                                                   {
   FindLines();
   BLOCK_LIST* result = block_list_;
   block_list_ = NULL;
   return result;
 }

ROW * tesseract::TessBaseAPI::FindRowForBox	(	BLOCK_LIST *	blocks,
		int	left,
		int	top,
		int	right,
		int	bottom
	)

static

This method returns the row to which a box of specified dimensions would belong. If no good match is found, it returns NULL.

Definition at line 2573 of file baseapi.cpp.

                                                                           {
   TBOX box(left, bottom, right, top);
   BLOCK_IT b_it(blocks);
   for (b_it.mark_cycle_pt(); !b_it.cycled_list(); b_it.forward()) {
     BLOCK* block = b_it.data();
     if (!box.major_overlap(block->bounding_box()))
       continue;
     ROW_IT r_it(block->row_list());
     for (r_it.mark_cycle_pt(); !r_it.cycled_list(); r_it.forward()) {
       ROW* row = r_it.data();
       if (!box.major_overlap(row->bounding_box()))
         continue;
       WERD_IT w_it(row->word_list());
       for (w_it.mark_cycle_pt(); !w_it.cycled_list(); w_it.forward()) {
         WERD* word = w_it.data();
         if (box.major_overlap(word->bounding_box()))
           return row;
       }
     }
   }
   return NULL;
 }

void tesseract::TessBaseAPI::GetBlockTextOrientations	(	int **	block_orientation,
		bool **	vertical_writing
	)

Return text orientation of each block as determined by an earlier run of layout analysis.

Return text orientation of each block as determined in an earlier page layout analysis operation. Orientation is returned as the number of ccw 90-degree rotations (in [0..3]) required to make the text in the block upright (readable). Note that this may not necessary be the block orientation preferred for recognition (such as the case of vertical CJK text).

Also returns whether the text in the block is believed to have vertical writing direction (when in an upright page orientation).

The returned array is of length equal to the number of text blocks, which may be less than the total number of blocks. The ordering is intended to be consistent with GetTextLines().

Definition at line 2213 of file baseapi.cpp.

                                                                     {
   delete[] *block_orientation;
   *block_orientation = NULL;
   delete[] *vertical_writing;
   *vertical_writing = NULL;
   BLOCK_IT block_it(block_list_);
 
   block_it.move_to_first();
   int num_blocks = 0;
   for (block_it.mark_cycle_pt(); !block_it.cycled_list(); block_it.forward()) {
     if (!block_it.data()->poly_block()->IsText()) {
       continue;
     }
     ++num_blocks;
   }
   if (!num_blocks) {
     tprintf("WARNING: Found no blocks\n");
     return;
   }
   *block_orientation = new int[num_blocks];
   *vertical_writing = new bool[num_blocks];
   block_it.move_to_first();
   int i = 0;
   for (block_it.mark_cycle_pt(); !block_it.cycled_list();
        block_it.forward()) {
     if (!block_it.data()->poly_block()->IsText()) {
       continue;
     }
     FCOORD re_rotation = block_it.data()->re_rotation();
     float re_theta = re_rotation.angle();
     FCOORD classify_rotation = block_it.data()->classify_rotation();
     float classify_theta = classify_rotation.angle();
     double rot_theta = - (re_theta - classify_theta) * 2.0 / PI;
     if (rot_theta < 0) rot_theta += 4;
     int num_rotations = static_cast<int>(rot_theta + 0.5);
     (*block_orientation)[i] = num_rotations;
     // The classify_rotation is non-zero only if the text has vertical
     // writing direction.
     (*vertical_writing)[i] = classify_rotation.y() != 0.0f;
     ++i;
   }
 }

char * tesseract::TessBaseAPI::GetBoxText ( int page_number )

The recognized text is returned as a char* which is coded in the same format as a box file used in training. Returned string must be freed with the delete [] operator. Constructs coordinates in the original image - not just the rectangle. page_number is a 0-based page index that will appear in the box file.

The recognized text is returned as a char* which is coded as a UTF8 box file and must be freed with the delete [] operator. page_number is a 0-base page index that will appear in the box file.

Definition at line 1581 of file baseapi.cpp.

                                              {
   if (tesseract_ == NULL ||
       (!recognition_done_ && Recognize(NULL) < 0))
     return NULL;
   int blob_count;
   int utf8_length = TextLength(&blob_count);
   int total_length = blob_count * kBytesPerBoxFileLine + utf8_length +
       kMaxBytesPerLine;
   char* result = new char[total_length];
   strcpy(result, "\0");
   int output_length = 0;
   LTRResultIterator* it = GetLTRIterator();
   do {
     int left, top, right, bottom;
     if (it->BoundingBox(RIL_SYMBOL, &left, &top, &right, &bottom)) {
       char* text = it->GetUTF8Text(RIL_SYMBOL);
       // Tesseract uses space for recognition failure. Fix to a reject
       // character, kTesseractReject so we don't create illegal box files.
       for (int i = 0; text[i] != '\0'; ++i) {
         if (text[i] == ' ')
           text[i] = kTesseractReject;
       }
       snprintf(result + output_length, total_length - output_length,
                "%s %d %d %d %d %d\n",
                text, left, image_height_ - bottom,
                right, image_height_ - top, page_number);
       output_length += strlen(result + output_length);
       delete [] text;
       // Just in case...
       if (output_length + kMaxBytesPerLine > total_length)
         break;
     }
   } while (it->Next(RIL_SYMBOL));
   delete it;
   return result;
 }

Boxa * tesseract::TessBaseAPI::GetComponentImages	(	const PageIteratorLevel	level,
		const bool	text_only,
		const bool	raw_image,
		const int	raw_padding,
		Pixa **	pixa,
		int **	blockids,
		int **	paraids
	)

Get the given level kind of components (block, textline, word etc.) as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize. If blockids is not NULL, the block-id of each component is also returned as an array of one element per component. delete [] after use. If blockids is not NULL, the paragraph-id of each component with its block is also returned as an array of one element per component. delete [] after use. If raw_image is true, then portions of the original image are extracted instead of the thresholded image and padded with raw_padding. If text_only is true, then only text components are returned.

Get the given level kind of components (block, textline, word etc.) as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize. If blockids is not NULL, the block-id of each component is also returned as an array of one element per component. delete [] after use. If text_only is true, then only text components are returned.

Definition at line 642 of file baseapi.cpp.

                                                      {
   PageIterator* page_it = GetIterator();
   if (page_it == NULL)
     page_it = AnalyseLayout();
   if (page_it == NULL)
     return NULL;  // Failed.
 
   // Count the components to get a size for the arrays.
   int component_count = 0;
   int left, top, right, bottom;
 
   TessResultCallback<bool>* get_bbox = NULL;
   if (raw_image) {
     // Get bounding box in original raw image with padding.
     get_bbox = NewPermanentTessCallback(page_it, &PageIterator::BoundingBox,
                                         level, raw_padding,
                                         &left, &top, &right, &bottom);
   } else {
     // Get bounding box from binarized imaged. Note that this could be
     // differently scaled from the original image.
     get_bbox = NewPermanentTessCallback(page_it,
                                         &PageIterator::BoundingBoxInternal,
                                         level, &left, &top, &right, &bottom);
   }
   do {
     if (get_bbox->Run() &&
         (!text_only || PTIsTextType(page_it->BlockType())))
       ++component_count;
   } while (page_it->Next(level));
 
   Boxa* boxa = boxaCreate(component_count);
   if (pixa != NULL)
     *pixa = pixaCreate(component_count);
   if (blockids != NULL)
     *blockids = new int[component_count];
   if (paraids != NULL)
     *paraids = new int[component_count];
 
   int blockid = 0;
   int paraid = 0;
   int component_index = 0;
   page_it->Begin();
   do {
     if (get_bbox->Run() &&
         (!text_only || PTIsTextType(page_it->BlockType()))) {
       Box* lbox = boxCreate(left, top, right - left, bottom - top);
       boxaAddBox(boxa, lbox, L_INSERT);
       if (pixa != NULL) {
         Pix* pix = NULL;
         if (raw_image) {
           pix = page_it->GetImage(level, raw_padding, input_image_,
                                   &left, &top);
         } else {
           pix = page_it->GetBinaryImage(level);
         }
         pixaAddPix(*pixa, pix, L_INSERT);
         pixaAddBox(*pixa, lbox, L_CLONE);
       }
       if (paraids != NULL) {
         (*paraids)[component_index] = paraid;
         if (page_it->IsAtFinalElement(RIL_PARA, level))
           ++paraid;
       }
       if (blockids != NULL) {
         (*blockids)[component_index] = blockid;
         if (page_it->IsAtFinalElement(RIL_BLOCK, level)) {
           ++blockid;
           paraid = 0;
         }
       }
       ++component_index;
     }
   } while (page_it->Next(level));
   delete page_it;
   delete get_bbox;
   return boxa;
 }

Boxa* tesseract::TessBaseAPI::GetComponentImages	(	const PageIteratorLevel	level,
		const bool	text_only,
		Pixa **	pixa,
		int **	blockids
	)

inline

Definition at line 462 of file baseapi.h.

                                                         {
     return GetComponentImages(level, text_only, false, 0, pixa, blockids, NULL);
   }

Boxa * tesseract::TessBaseAPI::GetConnectedComponents ( Pixa ** pixa )

Gets the individual connected (text) components (created after pages segmentation step, but before recognition) as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize. Note: the caller is responsible for calling boxaDestroy() on the returned Boxa array and pixaDestroy() on cc array.

Gets the individual connected (text) components (created after pages segmentation step, but before recognition) as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize.

Definition at line 630 of file baseapi.cpp.

                                                      {
   return GetComponentImages(RIL_SYMBOL, true, pixa, NULL);
 }

CubeRecoContext * tesseract::TessBaseAPI::GetCubeRecoContext ( ) const

Return a pointer to underlying CubeRecoContext object if present.

Definition at line 2638 of file baseapi.cpp.

                                                        {
   return (tesseract_ == NULL) ? NULL : tesseract_->GetCubeRecoContext();
 }

const Dawg * tesseract::TessBaseAPI::GetDawg ( int i ) const

Return the pointer to the i-th dawg loaded into tesseract_ object.

Definition at line 2626 of file baseapi.cpp.

                                             {
   if (tesseract_ == NULL || i >= NumDawgs()) return NULL;
   return tesseract_->getDict().GetDawg(i);
 }

void tesseract::TessBaseAPI::GetFeaturesForBlob	(	TBLOB *	blob,
		INT_FEATURE_STRUCT *	int_features,
		int *	num_features,
		int *	feature_outline_index
	)

This method returns the features associated with the input image.

This method returns the features associated with the input blob.

Definition at line 2545 of file baseapi.cpp.

                                                                  {
   GenericVector<int> outline_counts;
   GenericVector<INT_FEATURE_STRUCT> bl_features;
   GenericVector<INT_FEATURE_STRUCT> cn_features;
   INT_FX_RESULT_STRUCT fx_info;
   tesseract_->ExtractFeatures(*blob, false, &bl_features,
                               &cn_features, &fx_info, &outline_counts);
   if (cn_features.size() == 0 || cn_features.size() > MAX_NUM_INT_FEATURES) {
     *num_features = 0;
     return;  // Feature extraction failed.
   }
   *num_features = cn_features.size();
   memcpy(int_features, &cn_features[0], *num_features * sizeof(cn_features[0]));
   // TODO(rays) Pass outline_counts back and simplify the calling code.
   if (feature_outline_index != NULL) {
     int f = 0;
     for (int i = 0; i < outline_counts.size(); ++i) {
       while (f < outline_counts[i])
         feature_outline_index[f++] = i;
     }
   }
 }

char * tesseract::TessBaseAPI::GetHOCRText ( int page_number )

Make a HTML-formatted string with hOCR markup from the internal data structures. page_number is 0-based but will appear in the output as 1-based.

Make a HTML-formatted string with hOCR markup from the internal data structures. page_number is 0-based but will appear in the output as 1-based. Image name/input_file_ can be set by SetInputName before calling GetHOCRText STL removed from original patch submission and refactored by rays.

Definition at line 1399 of file baseapi.cpp.

                                               {
   if (tesseract_ == NULL ||
       (page_res_ == NULL && Recognize(NULL) < 0))
     return NULL;
 
   int lcnt = 1, bcnt = 1, pcnt = 1, wcnt = 1;
   int page_id = page_number + 1;  // hOCR uses 1-based page numbers.
   bool font_info = false;
   GetBoolVariable("hocr_font_info", &font_info);
 
   STRING hocr_str("");
 
   if (input_file_ == NULL)
       SetInputName(NULL);
 
 #ifdef _WIN32
   // convert input name from ANSI encoding to utf-8
   int str16_len = MultiByteToWideChar(CP_ACP, 0, input_file_->string(), -1,
                                       NULL, NULL);
   wchar_t *uni16_str = new WCHAR[str16_len];
   str16_len = MultiByteToWideChar(CP_ACP, 0, input_file_->string(), -1,
                                   uni16_str, str16_len);
   int utf8_len = WideCharToMultiByte(CP_UTF8, 0, uni16_str, str16_len, NULL,
                                      NULL, NULL, NULL);
   char *utf8_str = new char[utf8_len];
   WideCharToMultiByte(CP_UTF8, 0, uni16_str, str16_len, utf8_str,
                       utf8_len, NULL, NULL);
   *input_file_ = utf8_str;
   delete[] uni16_str;
   delete[] utf8_str;
 #endif
 
   hocr_str.add_str_int("  <div class='ocr_page' id='page_", page_id);
   hocr_str += "' title='image \"";
   if (input_file_) {
     hocr_str += HOcrEscape(input_file_->string());
   } else {
     hocr_str += "unknown";
   }
   hocr_str.add_str_int("\"; bbox ", rect_left_);
   hocr_str.add_str_int(" ", rect_top_);
   hocr_str.add_str_int(" ", rect_width_);
   hocr_str.add_str_int(" ", rect_height_);
   hocr_str.add_str_int("; ppageno ", page_number);
   hocr_str += "'>\n";
 
   ResultIterator *res_it = GetIterator();
   while (!res_it->Empty(RIL_BLOCK)) {
     if (res_it->Empty(RIL_WORD)) {
       res_it->Next(RIL_WORD);
       continue;
     }
 
     // Open any new block/paragraph/textline.
     if (res_it->IsAtBeginningOf(RIL_BLOCK)) {
       hocr_str.add_str_int("   <div class='ocr_carea' id='block_", page_id);
       hocr_str.add_str_int("_", bcnt);
       AddBoxTohOCR(res_it, RIL_BLOCK, &hocr_str);
     }
     if (res_it->IsAtBeginningOf(RIL_PARA)) {
       if (res_it->ParagraphIsLtr()) {
         hocr_str.add_str_int("\n    <p class='ocr_par' dir='ltr' id='par_",
                              page_id);
         hocr_str.add_str_int("_", pcnt);
       } else {
         hocr_str.add_str_int("\n    <p class='ocr_par' dir='rtl' id='par_",
                              page_id);
         hocr_str.add_str_int("_", pcnt);
       }
       AddBoxTohOCR(res_it, RIL_PARA, &hocr_str);
     }
     if (res_it->IsAtBeginningOf(RIL_TEXTLINE)) {
       hocr_str.add_str_int("\n     <span class='ocr_line' id='line_", page_id);
       hocr_str.add_str_int("_", lcnt);
       AddBoxTohOCR(res_it, RIL_TEXTLINE, &hocr_str);
     }
 
     // Now, process the word...
     hocr_str.add_str_int("<span class='ocrx_word' id='word_", page_id);
     hocr_str.add_str_int("_", wcnt);
     int left, top, right, bottom;
     bool bold, italic, underlined, monospace, serif, smallcaps;
     int pointsize, font_id;
     const char *font_name;
     res_it->BoundingBox(RIL_WORD, &left, &top, &right, &bottom);
     font_name = res_it->WordFontAttributes(&bold, &italic, &underlined,
                                            &monospace, &serif, &smallcaps,
                                            &pointsize, &font_id);
     hocr_str.add_str_int("' title='bbox ", left);
     hocr_str.add_str_int(" ", top);
     hocr_str.add_str_int(" ", right);
     hocr_str.add_str_int(" ", bottom);
     hocr_str.add_str_int("; x_wconf ", res_it->Confidence(RIL_WORD));
     if (font_info) {
       if (font_name) {
         hocr_str += "; x_font ";
         hocr_str += HOcrEscape(font_name);
       }
       hocr_str.add_str_int("; x_fsize ", pointsize);
     }
     hocr_str += "'";
     if (res_it->WordRecognitionLanguage()) {
       hocr_str += " lang='";
       hocr_str += res_it->WordRecognitionLanguage();
       hocr_str += "'";
     }
     switch (res_it->WordDirection()) {
       case DIR_LEFT_TO_RIGHT: hocr_str += " dir='ltr'"; break;
       case DIR_RIGHT_TO_LEFT: hocr_str += " dir='rtl'"; break;
       default:  // Do nothing.
         break;
     }
     hocr_str += ">";
     bool last_word_in_line = res_it->IsAtFinalElement(RIL_TEXTLINE, RIL_WORD);
     bool last_word_in_para = res_it->IsAtFinalElement(RIL_PARA, RIL_WORD);
     bool last_word_in_block = res_it->IsAtFinalElement(RIL_BLOCK, RIL_WORD);
     if (bold) hocr_str += "<strong>";
     if (italic) hocr_str += "<em>";
     do {
       const char *grapheme = res_it->GetUTF8Text(RIL_SYMBOL);
       if (grapheme && grapheme[0] != 0) {
         hocr_str += HOcrEscape(grapheme);
       }
       delete []grapheme;
       res_it->Next(RIL_SYMBOL);
     } while (!res_it->Empty(RIL_BLOCK) && !res_it->IsAtBeginningOf(RIL_WORD));
     if (italic) hocr_str += "</em>";
     if (bold) hocr_str += "</strong>";
     hocr_str += "</span> ";
     wcnt++;
     // Close any ending block/paragraph/textline.
     if (last_word_in_line) {
       hocr_str += "\n     </span>";
       lcnt++;
     }
     if (last_word_in_para) {
       hocr_str += "\n    </p>\n";
       pcnt++;
     }
     if (last_word_in_block) {
       hocr_str += "   </div>\n";
       bcnt++;
     }
   }
   hocr_str += "  </div>\n";
 
   char *ret = new char[hocr_str.length() + 1];
   strcpy(ret, hocr_str.string());
   delete res_it;
   return ret;
 }

ResultIterator * tesseract::TessBaseAPI::GetIterator ( )

Get a reading-order iterator to the results of LayoutAnalysis and/or Recognize. The returned iterator must be deleted after use. WARNING! This class points to data held within the TessBaseAPI class, and therefore can only be used while the TessBaseAPI class still exists and has not been subjected to a call of Init, SetImage, Recognize, Clear, End DetectOS, or anything else that changes the internal PAGE_RES.

Definition at line 1271 of file baseapi.cpp.

                                          {
   if (tesseract_ == NULL || page_res_ == NULL)
     return NULL;
   return ResultIterator::StartOfParagraph(LTRResultIterator(
       page_res_, tesseract_,
       thresholder_->GetScaleFactor(), thresholder_->GetScaledYResolution(),
       rect_left_, rect_top_, rect_width_, rect_height_));
 }

MutableIterator * tesseract::TessBaseAPI::GetMutableIterator ( )

Get a mutable iterator to the results of LayoutAnalysis and/or Recognize. The returned iterator must be deleted after use. WARNING! This class points to data held within the TessBaseAPI class, and therefore can only be used while the TessBaseAPI class still exists and has not been subjected to a call of Init, SetImage, Recognize, Clear, End DetectOS, or anything else that changes the internal PAGE_RES.

Definition at line 1288 of file baseapi.cpp.

                                                  {
   if (tesseract_ == NULL || page_res_ == NULL)
     return NULL;
   return new MutableIterator(page_res_, tesseract_,
                              thresholder_->GetScaleFactor(),
                              thresholder_->GetScaledYResolution(),
                              rect_left_, rect_top_, rect_width_, rect_height_);
 }

Boxa * tesseract::TessBaseAPI::GetRegions ( Pixa ** pixa )

Get the result of page layout analysis as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize.

Definition at line 585 of file baseapi.cpp.

                                          {
   return GetComponentImages(RIL_BLOCK, false, pixa, NULL);
 }

Boxa * tesseract::TessBaseAPI::GetStrips	(	Pixa **	pixa,
		int **	blockids
	)

Get textlines and strips of image regions as a leptonica-style Boxa, Pixa pair, in reading order. Enables downstream handling of non-rectangular regions. Can be called before or after Recognize. If blockids is not NULL, the block-id of each line is also returned as an array of one element per line. delete [] after use.

Definition at line 611 of file baseapi.cpp.

                                                         {
   return GetComponentImages(RIL_TEXTLINE, false, pixa, blockids);
 }

bool tesseract::TessBaseAPI::GetTextDirection	(	int *	out_offset,
		float *	out_slope
	)

Definition at line 1939 of file baseapi.cpp.

                                                                     {
   PageIterator* it = AnalyseLayout();
   if (it == NULL) {
     return false;
   }
   int x1, x2, y1, y2;
   it->Baseline(RIL_TEXTLINE, &x1, &y1, &x2, &y2);
   // Calculate offset and slope (NOTE: Kind of ugly)
   if (x2 <= x1) x2 = x1 + 1;
   // Convert the point pair to slope/offset of the baseline (in image coords.)
   *out_slope = static_cast<float>(y2 - y1) / (x2 - x1);
   *out_offset = static_cast<int>(y1 - *out_slope * x1);
   // Get the y-coord of the baseline at the left and right edges of the
   // textline's bounding box.
   int left, top, right, bottom;
   if (!it->BoundingBox(RIL_TEXTLINE, &left, &top, &right, &bottom)) {
     delete it;
     return false;
   }
   int left_y = IntCastRounded(*out_slope * left + *out_offset);
   int right_y = IntCastRounded(*out_slope * right + *out_offset);
   // Shift the baseline down so it passes through the nearest bottom-corner
   // of the textline's bounding box. This is the difference between the y
   // at the lowest (max) edge of the box and the actual box bottom.
   *out_offset += bottom - MAX(left_y, right_y);
   // Switch back to bottom-up tesseract coordinates. Requires negation of
   // the slope and height - offset for the offset.
   *out_slope = -*out_slope;
   *out_offset = rect_height_ - *out_offset;
   delete it;
 
   return true;
 }

Boxa * tesseract::TessBaseAPI::GetTextlines	(	const bool	raw_image,
		const int	raw_padding,
		Pixa **	pixa,
		int **	blockids,
		int **	paraids
	)

Get the textlines as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize. If raw_image is true, then extract from the original image instead of the thresholded image and pad by raw_padding pixels. If blockids is not NULL, the block-id of each line is also returned as an array of one element per line. delete [] after use. If paraids is not NULL, the paragraph-id of each line within its block is also returned as an array of one element per line. delete [] after use.

Get the textlines as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize. If blockids is not NULL, the block-id of each line is also returned as an array of one element per line. delete [] after use. If paraids is not NULL, the paragraph-id of each line within its block is also returned as an array of one element per line. delete [] after use.

Definition at line 597 of file baseapi.cpp.

                                                                             {
   return GetComponentImages(RIL_TEXTLINE, true, raw_image, raw_padding,
                             pixa, blockids, paraids);
 }

Boxa* tesseract::TessBaseAPI::GetTextlines	(	Pixa **	pixa,
		int **	blockids
	)

inline

Definition at line 413 of file baseapi.h.

                                                   {
     return GetTextlines(false, 0, pixa, blockids, NULL);
   }

Pix * tesseract::TessBaseAPI::GetThresholdedImage ( )

Get a copy of the internal thresholded image from Tesseract. Caller takes ownership of the Pix and must pixDestroy it. May be called any time after SetImage, or after TesseractRect.

ONLY available after SetImage if you have Leptonica installed. Get a copy of the internal thresholded image from Tesseract.

Definition at line 572 of file baseapi.cpp.

                                       {
   if (tesseract_ == NULL || thresholder_ == NULL)
     return NULL;
   if (tesseract_->pix_binary() == NULL)
     Threshold(tesseract_->mutable_pix_binary());
   return pixClone(tesseract_->pix_binary());
 }

int tesseract::TessBaseAPI::GetThresholdedImageScaleFactor ( ) const

Returns the scale factor of the thresholded image that would be returned by GetThresholdedImage() and the various GetX() methods that call GetComponentImages(). Returns 0 if no thresholder has been set.

Definition at line 724 of file baseapi.cpp.

                                                       {
   if (thresholder_ == NULL) {
     return 0;
   }
   return thresholder_->GetScaleFactor();
 }

const char * tesseract::TessBaseAPI::GetUnichar ( int unichar_id )

This method returns the string form of the specified unichar.

Definition at line 2621 of file baseapi.cpp.

                                                   {
   return tesseract_->unicharset.id_to_unichar(unichar_id);
 }

char * tesseract::TessBaseAPI::GetUNLVText ( )

The recognized text is returned as a char* which is coded as UNLV format Latin-1 with specific reject and suspect codes and must be freed with the delete [] operator.

Definition at line 1636 of file baseapi.cpp.

                                {
   if (tesseract_ == NULL ||
       (!recognition_done_ && Recognize(NULL) < 0))
     return NULL;
   bool tilde_crunch_written = false;
   bool last_char_was_newline = true;
   bool last_char_was_tilde = false;
 
   int total_length = TextLength(NULL);
   PAGE_RES_IT   page_res_it(page_res_);
   char* result = new char[total_length];
   char* ptr = result;
   for (page_res_it.restart_page(); page_res_it.word () != NULL;
        page_res_it.forward()) {
     WERD_RES *word = page_res_it.word();
     // Process the current word.
     if (word->unlv_crunch_mode != CR_NONE) {
       if (word->unlv_crunch_mode != CR_DELETE &&
           (!tilde_crunch_written ||
            (word->unlv_crunch_mode == CR_KEEP_SPACE &&
             word->word->space() > 0 &&
             !word->word->flag(W_FUZZY_NON) &&
             !word->word->flag(W_FUZZY_SP)))) {
         if (!word->word->flag(W_BOL) &&
             word->word->space() > 0 &&
             !word->word->flag(W_FUZZY_NON) &&
             !word->word->flag(W_FUZZY_SP)) {
           /* Write a space to separate from preceeding good text */
           *ptr++ = ' ';
           last_char_was_tilde = false;
         }
         if (!last_char_was_tilde) {
           // Write a reject char.
           last_char_was_tilde = true;
           *ptr++ = kUNLVReject;
           tilde_crunch_written = true;
           last_char_was_newline = false;
         }
       }
     } else {
       // NORMAL PROCESSING of non tilde crunched words.
       tilde_crunch_written = false;
       tesseract_->set_unlv_suspects(word);
       const char* wordstr = word->best_choice->unichar_string().string();
       const STRING& lengths = word->best_choice->unichar_lengths();
       int length = lengths.length();
       int i = 0;
       int offset = 0;
 
       if (last_char_was_tilde &&
           word->word->space() == 0 && wordstr[offset] == ' ') {
         // Prevent adjacent tilde across words - we know that adjacent tildes
         // within words have been removed.
         // Skip the first character.
         offset = lengths[i++];
       }
       if (i < length && wordstr[offset] != 0) {
         if (!last_char_was_newline)
           *ptr++ = ' ';
         else
           last_char_was_newline = false;
         for (; i < length; offset += lengths[i++]) {
           if (wordstr[offset] == ' ' ||
               wordstr[offset] == kTesseractReject) {
             *ptr++ = kUNLVReject;
             last_char_was_tilde = true;
           } else {
             if (word->reject_map[i].rejected())
               *ptr++ = kUNLVSuspect;
             UNICHAR ch(wordstr + offset, lengths[i]);
             int uni_ch = ch.first_uni();
             for (int j = 0; kUniChs[j] != 0; ++j) {
               if (kUniChs[j] == uni_ch) {
                 uni_ch = kLatinChs[j];
                 break;
               }
             }
             if (uni_ch <= 0xff) {
               *ptr++ = static_cast<char>(uni_ch);
               last_char_was_tilde = false;
             } else {
               *ptr++ = kUNLVReject;
               last_char_was_tilde = true;
             }
           }
         }
       }
     }
     if (word->word->flag(W_EOL) && !last_char_was_newline) {
       /* Add a new line output */
       *ptr++ = '\n';
       tilde_crunch_written = false;
       last_char_was_newline = true;
       last_char_was_tilde = false;
     }
   }
   *ptr++ = '\n';
   *ptr = '\0';
   return result;
 }

char * tesseract::TessBaseAPI::GetUTF8Text ( )

The recognized text is returned as a char* which is coded as UTF8 and must be freed with the delete [] operator.

Make a text string from the internal data structures.

Definition at line 1298 of file baseapi.cpp.

                                {
   if (tesseract_ == NULL ||
       (!recognition_done_ && Recognize(NULL) < 0))
     return NULL;
   STRING text("");
   ResultIterator *it = GetIterator();
   do {
     if (it->Empty(RIL_PARA)) continue;
     char *para_text = it->GetUTF8Text(RIL_PARA);
     text += para_text;
     delete []para_text;
   } while (it->Next(RIL_PARA));
   char* result = new char[text.length() + 1];
   strncpy(result, text.string(), text.length() + 1);
   delete it;
   return result;
 }

Boxa * tesseract::TessBaseAPI::GetWords ( Pixa ** pixa )

Get the words as a leptonica-style Boxa, Pixa pair, in reading order. Can be called before or after Recognize.

Definition at line 620 of file baseapi.cpp.

                                        {
   return GetComponentImages(RIL_WORD, true, pixa, NULL);
 }

void tesseract::TessBaseAPI::InitTruthCallback ( TruthCallback * cb )

inline

Definition at line 736 of file baseapi.h.

736 { truth_cb_ = cb; }

tesseract::TessBaseAPI::truth_cb_

TruthCallback * truth_cb_

Definition: baseapi.h:852

bool tesseract::TessBaseAPI::IsValidCharacter ( const char * utf8_character )

Definition at line 1932 of file baseapi.cpp.

                                                              {
     return tesseract_->unicharset.contains_unichar(utf8_character);
 }

int tesseract::TessBaseAPI::IsValidWord ( const char * word )

Check whether a word is valid according to Tesseract's language model

Returns: 0 if the word is invalid, non-zero if valid.

Warning: temporary! This function will be removed from here and placed in a separate API at some future time.

Check whether a word is valid according to Tesseract's language model returns 0 if the word is invalid, non-zero if valid

Definition at line 1928 of file baseapi.cpp.

                                              {
   return tesseract_->getDict().valid_word(word);
 }

TBLOB * tesseract::TessBaseAPI::MakeTBLOB ( Pix * pix )

static

Returns a TBLOB corresponding to the entire input image.

Creates a TBLOB* from the whole pix.

Definition at line 2295 of file baseapi.cpp.

                                       {
   int width = pixGetWidth(pix);
   int height = pixGetHeight(pix);
   BLOCK block("a character", TRUE, 0, 0, 0, 0, width, height);
 
   // Create C_BLOBs from the page
   extract_edges(pix, &block);
 
   // Merge all C_BLOBs
   C_BLOB_LIST *list = block.blob_list();
   C_BLOB_IT c_blob_it(list);
   if (c_blob_it.empty())
     return NULL;
   // Move all the outlines to the first blob.
   C_OUTLINE_IT ol_it(c_blob_it.data()->out_list());
   for (c_blob_it.forward();
        !c_blob_it.at_first();
        c_blob_it.forward()) {
       C_BLOB *c_blob = c_blob_it.data();
       ol_it.add_list_after(c_blob->out_list());
   }
   // Convert the first blob to the output TBLOB.
   return TBLOB::PolygonalCopy(false, c_blob_it.data());
 }

ROW * tesseract::TessBaseAPI::MakeTessOCRRow	(	float	baseline,
		float	xheight,
		float	descender,
		float	ascender
	)

static

Returns a ROW object created from the input row specification.

Definition at line 2278 of file baseapi.cpp.

                                                  {
   inT32 xstarts[] = {-32000};
   double quad_coeffs[] = {0, 0, baseline};
   return new ROW(1,
                  xstarts,
                  quad_coeffs,
                  xheight,
                  ascender - (baseline + xheight),
                  descender - baseline,
                  0,
                  0);
 }

int tesseract::TessBaseAPI::MeanTextConf ( )

Returns the (average) confidence value between 0 and 100.

Returns the average word confidence for Tesseract page result.

Definition at line 1738 of file baseapi.cpp.

                               {
   int* conf = AllWordConfidences();
   if (!conf) return 0;
   int sum = 0;
   int *pt = conf;
   while (*pt >= 0) sum += *pt++;
   if (pt != conf) sum /= pt - conf;
   delete [] conf;
   return sum;
 }

void tesseract::TessBaseAPI::NormalizeTBLOB	(	TBLOB *	tblob,
		ROW *	row,
		bool	numeric_mode
	)

static

This method baseline normalizes a TBLOB in-place. The input row is used for normalization. The denorm is an optional parameter in which the normalization-antidote is returned.

Definition at line 2325 of file baseapi.cpp.

                                                                           {
   TBOX box = tblob->bounding_box();
   float x_center = (box.left() + box.right()) / 2.0f;
   float baseline = row->base_line(x_center);
   float scale = kBlnXHeight / row->x_height();
   tblob->Normalize(NULL, NULL, NULL, x_center, baseline, scale, scale,
                    0.0f, static_cast<float>(kBlnBaselineOffset), false, NULL);
 }

int tesseract::TessBaseAPI::NumDawgs ( ) const

Return the number of dawgs loaded into tesseract_ object.

Definition at line 2632 of file baseapi.cpp.

                                 {
   return tesseract_ == NULL ? 0 : tesseract_->getDict().NumDawgs();
 }

OcrEngineMode const tesseract::TessBaseAPI::oem ( ) const

inline

Definition at line 732 of file baseapi.h.

                                   {
     return last_oem_requested_;
   }

bool tesseract::TessBaseAPI::ProcessPage	(	Pix *	pix,
		int	page_index,
		const char *	filename,
		const char *	retry_config,
		int	timeout_millisec,
		TessResultRenderer *	renderer
	)

Turn a single image into symbolic text.

The pix is the image processed. filename and page_index are metadata used by side-effect processes, such as reading a box file or formatting as hOCR.

See ProcessPages for desciptions of other parameters.

Definition at line 1194 of file baseapi.cpp.

                                                             {
   PERF_COUNT_START("ProcessPage")
   SetInputName(filename);
   SetImage(pix);
   bool failed = false;
   if (timeout_millisec > 0) {
     // Running with a timeout.
     ETEXT_DESC monitor;
     monitor.cancel = NULL;
     monitor.cancel_this = NULL;
     monitor.set_deadline_msecs(timeout_millisec);
     // Now run the main recognition.
     failed = Recognize(&monitor) < 0;
   } else if (tesseract_->tessedit_pageseg_mode == PSM_OSD_ONLY ||
              tesseract_->tessedit_pageseg_mode == PSM_AUTO_ONLY) {
     // Disabled character recognition.
     PageIterator* it = AnalyseLayout();
     if (it == NULL) {
       failed = true;
     } else {
       delete it;
       PERF_COUNT_END
       return true;
     }
   } else {
     // Normal layout and character recognition with no timeout.
     failed = Recognize(NULL) < 0;
   }
   if (tesseract_->tessedit_write_images) {
 #ifndef ANDROID_BUILD
     Pix* page_pix = GetThresholdedImage();
     pixWrite("tessinput.tif", page_pix, IFF_TIFF_G4);
 #endif
   }
   if (failed && retry_config != NULL && retry_config[0] != '\0') {
     // Save current config variables before switching modes.
     FILE* fp = fopen(kOldVarsFile, "wb");
     PrintVariables(fp);
     fclose(fp);
     // Switch to alternate mode for retry.
     ReadConfigFile(retry_config);
     SetImage(pix);
     Recognize(NULL);
     // Restore saved config variables.
     ReadConfigFile(kOldVarsFile);
   }
 
   if (renderer && !failed) {
     failed = !renderer->AddImage(this);
   }
   PERF_COUNT_END
   return !failed;
 }

bool tesseract::TessBaseAPI::ProcessPages	(	const char *	filename,
		const char *	retry_config,
		int	timeout_millisec,
		TessResultRenderer *	renderer
	)

Turns images into symbolic text.

filename can point to a single image, a multi-page TIFF, or a plain text list of image filenames.

retry_config is useful for debugging. If not NULL, you can fall back to an alternate configuration if a page fails for some reason.

timeout_millisec terminates processing if any single page takes too long. Set to 0 for unlimited time.

renderer is responible for creating the output. For example, use the TessTextRenderer if you want plaintext output, or the TessPDFRender to produce searchable PDF.

If tessedit_page_number is non-negative, will only process that single page. Works for multi-page tiff file, or filelist.

Returns true if successful, false on error.

Definition at line 1070 of file baseapi.cpp.

                                                              {
   bool result =
       ProcessPagesInternal(filename, retry_config, timeout_millisec, renderer);
   if (result) {
     if (tesseract_->tessedit_train_from_boxes &&
         !tesseract_->WriteTRFile(*output_file_)) {
       tprintf("Write of TR file failed: %s\n", output_file_->string());
       return false;
     }
   }
   return result;
 }

bool tesseract::TessBaseAPI::ProcessPagesInternal	(	const char *	filename,
		const char *	retry_config,
		int	timeout_millisec,
		TessResultRenderer *	renderer
	)

Definition at line 1097 of file baseapi.cpp.

                                                                      {
 #ifndef ANDROID_BUILD
   PERF_COUNT_START("ProcessPages")
   bool stdInput = !strcmp(filename, "stdin") || !strcmp(filename, "-");
   if (stdInput) {
 #ifdef WIN32
     if (_setmode(_fileno(stdin), _O_BINARY) == -1)
       tprintf("ERROR: cin to binary: %s", strerror(errno));
 #endif  // WIN32
   }
 
   if (stream_filelist) {
     return ProcessPagesFileList(stdin, NULL, retry_config,
                                 timeout_millisec, renderer,
                                 tesseract_->tessedit_page_number);
   }
 
   // At this point we are officially in autodection territory.
   // That means we are going to buffer stdin so that it is
   // seekable. To keep code simple we will also buffer data
   // coming from a file.
   std::string buf;
   if (stdInput) {
     buf.assign((std::istreambuf_iterator<char>(std::cin)),
                (std::istreambuf_iterator<char>()));
   } else {
     std::ifstream ifs(filename, std::ios::binary);
     if (ifs) {
       buf.assign((std::istreambuf_iterator<char>(ifs)),
                  (std::istreambuf_iterator<char>()));
     } else {
       tprintf("ERROR: Can not open input file %s\n", filename);
       return false;
     }
   }
 
   // Here is our autodetection
   int format;
   const l_uint8 * data = reinterpret_cast<const l_uint8 *>(buf.c_str());
   findFileFormatBuffer(data, &format);
 
   // Maybe we have a filelist
   if (format == IFF_UNKNOWN) {
     STRING s(buf.c_str());
     return ProcessPagesFileList(NULL, &s, retry_config,
                                 timeout_millisec, renderer,
                                 tesseract_->tessedit_page_number);
   }
 
   // Maybe we have a TIFF which is potentially multipage
   bool tiff = (format == IFF_TIFF || format == IFF_TIFF_PACKBITS ||
                format == IFF_TIFF_RLE || format == IFF_TIFF_G3 ||
                format == IFF_TIFF_G4 || format == IFF_TIFF_LZW ||
                format == IFF_TIFF_ZIP);
 
   // Fail early if we can, before producing any output
   Pix *pix = NULL;
   if (!tiff) {
     pix = pixReadMem(data, buf.size());
     if (pix == NULL) {
       return false;
     }
   }
 
   // Begin the output
   const char* kUnknownTitle = "";
   if (renderer && !renderer->BeginDocument(kUnknownTitle)) {
     pixDestroy(&pix);
     return false;
   }
 
   // Produce output
   bool r = false;
   if (tiff) {
     r = ProcessPagesMultipageTiff(data, buf.size(), filename, retry_config,
                                   timeout_millisec, renderer,
                                   tesseract_->tessedit_page_number);
   } else {
     r = ProcessPage(pix, 0, filename, retry_config,
                     timeout_millisec, renderer);
     pixDestroy(&pix);
   }
 
   // End the output
   if (!r || (renderer && !renderer->EndDocument())) {
     return false;
   }
   PERF_COUNT_END
   return true;
 #else
   return false;
 #endif
 }

int tesseract::TessBaseAPI::Recognize ( ETEXT_DESC * monitor )

Recognize the image from SetAndThresholdImage, generating Tesseract internal structures. Returns 0 on success. Optional. The Get*Text functions below will call Recognize if needed. After Recognize, the output is kept internally until the next SetImage.

Recognize the tesseract global image and return the result as Tesseract internal structures.

Definition at line 830 of file baseapi.cpp.

                                               {
   if (tesseract_ == NULL)
     return -1;
   if (FindLines() != 0)
     return -1;
   if (page_res_ != NULL)
     delete page_res_;
   if (block_list_->empty()) {
     page_res_ = new PAGE_RES(false, block_list_,
                              &tesseract_->prev_word_best_choice_);
     return 0; // Empty page.
   }
 
   tesseract_->SetBlackAndWhitelist();
   recognition_done_ = true;
   if (tesseract_->tessedit_resegment_from_line_boxes) {
     page_res_ = tesseract_->ApplyBoxes(*input_file_, true, block_list_);
   } else if (tesseract_->tessedit_resegment_from_boxes) {
     page_res_ = tesseract_->ApplyBoxes(*input_file_, false, block_list_);
   } else {
     // TODO(rays) LSTM here.
     page_res_ = new PAGE_RES(false,
                              block_list_, &tesseract_->prev_word_best_choice_);
   }
   if (tesseract_->tessedit_make_boxes_from_boxes) {
     tesseract_->CorrectClassifyWords(page_res_);
     return 0;
   }
 
   if (truth_cb_ != NULL) {
     tesseract_->wordrec_run_blamer.set_value(true);
     PageIterator *page_it = new PageIterator(
             page_res_, tesseract_, thresholder_->GetScaleFactor(),
             thresholder_->GetScaledYResolution(),
             rect_left_, rect_top_, rect_width_, rect_height_);
     truth_cb_->Run(tesseract_->getDict().getUnicharset(),
                    image_height_, page_it, this->tesseract()->pix_grey());
     delete page_it;
   }
 
   int result = 0;
   if (tesseract_->interactive_display_mode) {
     #ifndef GRAPHICS_DISABLED
     tesseract_->pgeditor_main(rect_width_, rect_height_, page_res_);
     #endif  // GRAPHICS_DISABLED
     // The page_res is invalid after an interactive session, so cleanup
     // in a way that lets us continue to the next page without crashing.
     delete page_res_;
     page_res_ = NULL;
     return -1;
   } else if (tesseract_->tessedit_train_from_boxes) {
     STRING fontname;
     ExtractFontName(*output_file_, &fontname);
     tesseract_->ApplyBoxTraining(fontname, page_res_);
   } else if (tesseract_->tessedit_ambigs_training) {
     FILE *training_output_file = tesseract_->init_recog_training(*input_file_);
     // OCR the page segmented into words by tesseract.
     tesseract_->recog_training_segmented(
         *input_file_, page_res_, monitor, training_output_file);
     fclose(training_output_file);
   } else {
     // Now run the main recognition.
     bool wait_for_text = true;
     GetBoolVariable("paragraph_text_based", &wait_for_text);
     if (!wait_for_text) DetectParagraphs(false);
     if (tesseract_->recog_all_words(page_res_, monitor, NULL, NULL, 0)) {
       if (wait_for_text) DetectParagraphs(true);
     } else {
       result = -1;
     }
   }
   return result;
 }

int tesseract::TessBaseAPI::RecognizeForChopTest ( ETEXT_DESC * monitor )

Methods to retrieve information after SetAndThresholdImage(), Recognize() or TesseractRect(). (Recognize is called implicitly if needed.)Variant on Recognize used for testing chopper.

Tests the chopper by exhaustively running chop_one_blob.

Definition at line 905 of file baseapi.cpp.

                                                          {
   if (tesseract_ == NULL)
     return -1;
   if (thresholder_ == NULL || thresholder_->IsEmpty()) {
     tprintf("Please call SetImage before attempting recognition.");
     return -1;
   }
   if (page_res_ != NULL)
     ClearResults();
   if (FindLines() != 0)
     return -1;
   // Additional conditions under which chopper test cannot be run
   if (tesseract_->interactive_display_mode) return -1;
 
   recognition_done_ = true;
 
   page_res_ = new PAGE_RES(false, block_list_,
                            &(tesseract_->prev_word_best_choice_));
 
   PAGE_RES_IT page_res_it(page_res_);
 
   while (page_res_it.word() != NULL) {
     WERD_RES *word_res = page_res_it.word();
     GenericVector<TBOX> boxes;
     tesseract_->MaximallyChopWord(boxes, page_res_it.block()->block,
                                   page_res_it.row()->row, word_res);
     page_res_it.forward();
   }
   return 0;
 }

void tesseract::TessBaseAPI::RunAdaptiveClassifier	(	TBLOB *	blob,
		int	num_max_matches,
		int *	unichar_ids,
		float *	ratings,
		int *	num_matches_returned
	)

Method to run adaptive classifier on a blob. It returns at max num_max_matches results.

Method to run adaptive classifier on a blob.

Definition at line 2598 of file baseapi.cpp.

                                                                    {
   BLOB_CHOICE_LIST* choices = new BLOB_CHOICE_LIST;
   tesseract_->AdaptiveClassifier(blob, choices);
   BLOB_CHOICE_IT choices_it(choices);
   int& index = *num_matches_returned;
   index = 0;
   for (choices_it.mark_cycle_pt();
        !choices_it.cycled_list() && index < num_max_matches;
        choices_it.forward()) {
     BLOB_CHOICE* choice = choices_it.data();
     unichar_ids[index] = choice->unichar_id();
     ratings[index] = choice->rating();
     ++index;
   }
   *num_matches_returned = index;
   delete choices;
 }

void tesseract::TessBaseAPI::set_min_orientation_margin ( double margin )

Definition at line 2195 of file baseapi.cpp.

                                                           {
   tesseract_->min_orientation_margin.set_value(margin);
 }

void tesseract::TessBaseAPI::SetDictFunc ( DictFunc f )

Sets Dict::letter_is_okay_ function to point to the given function.

Definition at line 1974 of file baseapi.cpp.

                                         {
   if (tesseract_ != NULL) {
     tesseract_->getDict().letter_is_okay_ = f;
   }
 }

void tesseract::TessBaseAPI::SetFillLatticeFunc ( FillLatticeFunc f )

Sets Wordrec::fill_lattice_ function to point to the given function.

Definition at line 2000 of file baseapi.cpp.

                                                       {
   if (tesseract_ != NULL) tesseract_->fill_lattice_ = f;
 }

void tesseract::TessBaseAPI::SetImage	(	const unsigned char *	imagedata,
		int	width,
		int	height,
		int	bytes_per_pixel,
		int	bytes_per_line
	)

Provide an image for Tesseract to recognize. Format is as TesseractRect above. Does not copy the image buffer, or take ownership. The source image may be destroyed after Recognize is called, either explicitly or implicitly via one of the Get*Text functions. SetImage clears all recognition results, and sets the rectangle to the full image, so it may be followed immediately by a GetUTF8Text, and it will automatically perform recognition.

Definition at line 525 of file baseapi.cpp.

                                                                     {
   if (InternalSetImage())
     thresholder_->SetImage(imagedata, width, height,
                            bytes_per_pixel, bytes_per_line);
 }

void tesseract::TessBaseAPI::SetImage ( Pix * pix )

Provide an image for Tesseract to recognize. As with SetImage above, Tesseract doesn't take a copy or ownership or pixDestroy the image, so it must persist until after Recognize. Pix vs raw, which to use? Use Pix where possible. A future version of Tesseract may choose to use Pix as its internal representation and discard IMAGE altogether. Because of that, an implementation that sources and targets Pix may end up with less copies than an implementation that does not.

Definition at line 550 of file baseapi.cpp.

                                    {
   if (InternalSetImage())
     thresholder_->SetImage(pix);
   SetInputImage(pix);
 }

void tesseract::TessBaseAPI::SetProbabilityInContextFunc ( ProbabilityInContextFunc f )

Sets Dict::probability_in_context_ function to point to the given function.

Parameters

f	A single function that returns the probability of the current "character" (in general a utf-8 string), given the context of a previous utf-8 string.

Definition at line 1988 of file baseapi.cpp.

                                                                         {
   if (tesseract_ != NULL) {
     tesseract_->getDict().probability_in_context_ = f;
     // Set it for the sublangs too.
     int num_subs = tesseract_->num_sub_langs();
     for (int i = 0; i < num_subs; ++i) {
       tesseract_->get_sub_lang(i)->getDict().probability_in_context_ = f;
     }
   }
 }

void tesseract::TessBaseAPI::SetRectangle	(	int	left,
		int	top,
		int	width,
		int	height
	)

Restrict recognition to a sub-rectangle of the image. Call after SetImage. Each SetRectangle clears the recogntion results so multiple rectangles can be recognized with the same image.

Definition at line 561 of file baseapi.cpp.

                                                                        {
   if (thresholder_ == NULL)
     return;
   thresholder_->SetRectangle(left, top, width, height);
   ClearResults();
 }

void tesseract::TessBaseAPI::SetSourceResolution ( int ppi )

Set the resolution of the source image in pixels per inch so font size information can be calculated in results. Call this after SetImage().

Definition at line 533 of file baseapi.cpp.

                                              {
   if (thresholder_)
     thresholder_->SetSourceYResolution(ppi);
   else
     tprintf("Please call SetImage before SetSourceResolution.\n");
 }

void tesseract::TessBaseAPI::SetThresholder ( ImageThresholder * thresholder )

inline

In extreme cases only, usually with a subclass of Thresholder, it is possible to provide a different Thresholder. The Thresholder may be preloaded with an image, settings etc, or they may be set after. Note that Tesseract takes ownership of the Thresholder and will delete it when it it is replaced or the API is destructed.

Definition at line 376 of file baseapi.h.

                                                      {
     if (thresholder_ != NULL)
       delete thresholder_;
     thresholder_ = thresholder;
     ClearResults();
   }

Tesseract* const tesseract::TessBaseAPI::tesseract ( ) const

inline

Definition at line 728 of file baseapi.h.

                                      {
     return tesseract_;
   }

Functions

Detailed Description

Function Documentation