normmatch.cpp File Reference

#include "normmatch.h"
#include <cstdio>
#include <cmath>
#include "classify.h"
#include "clusttool.h"
#include "emalloc.h"
#include "globals.h"
#include "helpers.h"
#include "normfeat.h"
#include "unicharset.h"
#include "params.h"

Go to the source code of this file.

Classes
struct	NORM_PROTOS

Namespaces
	tesseract

Functions
NORM_PROTOS *	ReadNormProtos (FILE *File)
NormEvidenceOf
Return the new type of evidence number corresponding to this normalization adjustment. The equation that represents the transform is: 1 / (1 + (NormAdj / midpoint) ^ curl)
double	NormEvidenceOf (double NormAdj)
void	PrintNormMatch (FILE *File, int NumParams, PROTOTYPE *Proto, FEATURE Feature)

Variables
double	classify_norm_adj_midpoint = 32.0
double	classify_norm_adj_curl = 2.0
const double	kWidthErrorWeighting = 0.125

Function Documentation

NormEvidenceOf()

double NormEvidenceOf

(

double

NormAdj

)

Definition at line 179 of file normmatch.cpp.

                                      {
  NormAdj /= classify_norm_adj_midpoint;

  if (classify_norm_adj_curl == 3)
    NormAdj = NormAdj * NormAdj * NormAdj;
  else if (classify_norm_adj_curl == 2)
    NormAdj = NormAdj * NormAdj;
  else
    NormAdj = pow (NormAdj, classify_norm_adj_curl);
  return (1.0 / (1.0 + NormAdj));
}

PrintNormMatch()

void PrintNormMatch	(	FILE *	File,
		int	NumParams,
		PROTOTYPE *	Proto,
		FEATURE	Feature
	)

This routine dumps out detailed normalization match info.

Parameters

File	open text file to dump match debug info to
NumParams	# of parameters in proto and feature
Proto[]	array of prototype parameters
Feature[]	array of feature parameters Globals: none

Returns

none

Definition at line 202 of file normmatch.cpp.

                                     {
  int i;
  float ParamMatch;
  float TotalMatch;

  for (i = 0, TotalMatch = 0.0; i < NumParams; i++) {
    ParamMatch = (Feature->Params[i] - Mean(Proto, i)) /
      StandardDeviation(Proto, i);

    fprintf (File, " %6.1f", ParamMatch);

    if (i == CharNormY || i == CharNormRx)
      TotalMatch += ParamMatch * ParamMatch;
  }
  fprintf (File, " --> %6.1f (%4.2f)\n",
    TotalMatch, NormEvidenceOf (TotalMatch));

}                                /* PrintNormMatch */

ReadNormProtos()

NORM_PROTOS* ReadNormProtos

(

FILE *

File

)

Variable Documentation

classify_norm_adj_curl

double classify_norm_adj_curl = 2.0

"Norm adjust curl ..."

Definition at line 61 of file normmatch.cpp.

classify_norm_adj_midpoint

double classify_norm_adj_midpoint = 32.0

control knobs used to control the normalization adjustment process "Norm adjust midpoint ..."

Definition at line 60 of file normmatch.cpp.

kWidthErrorWeighting

const double kWidthErrorWeighting = 0.125

Weight of width variance against height and vertical position.

Definition at line 63 of file normmatch.cpp.