tesseract-ocr/classify/blobclass.cpp File Reference

#include "blobclass.h"
#include "extract.h"
#include "efio.h"
#include "featdefs.h"
#include "callcpp.h"
#include "chartoname.h"
#include <math.h>
#include <stdio.h>
#include <signal.h>

Go to the source code of this file.

Defines
#define	MAXFILENAME   80
#define	MAXMATCHES   10
#define	TRAIN_SUFFIX   ".tr"
Functions
void	LearnBlob (const FEATURE_DEFS_STRUCT &FeatureDefs, const STRING &filename, TBLOB *Blob, const DENORM &denorm, const char *BlobText)
void	LearnBlob (const FEATURE_DEFS_STRUCT &FeatureDefs, FILE *FeatureFile, TBLOB *Blob, const DENORM &denorm, const char *BlobText, const char *FontName)
Variables
char *	classify_font_name = kUnknownFontName
char	imagefile []

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Define Documentation

#define MAXFILENAME   80

---------------------------------------------------------------------------- Include Files and Type Defines ----------------------------------------------------------------------------

Definition at line 33 of file blobclass.cpp.

#define MAXMATCHES   10

Definition at line 34 of file blobclass.cpp.

#define TRAIN_SUFFIX   ".tr"

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Function Documentation

void LearnBlob	(	const FEATURE_DEFS_STRUCT &	FeatureDefs,
		const STRING &	filename,
		TBLOB *	Blob,
		const DENORM &	denorm,
		const char *	BlobText
	)

---------------------------------------------------------------------------- Public Code ----------------------------------------------------------------------------

Definition at line 52 of file blobclass.cpp.

                                                                         {
/*
 **      Parameters:
 **              Blob            blob whose micro-features are to be learned
 **              Row             row of text that blob came from
 **              BlobText        text that corresponds to blob
 **              TextLength      number of characters in blob
 **      Globals:
 **              imagefile       base filename of the page being learned
 **              classify_font_name
 **                              name of font currently being trained on
 **      Operation:
 **              Extract micro-features from the specified blob and append
 **              them to the appropriate file.
 **      Return: none
 **      Exceptions: none
 **      History: 7/28/89, DSJ, Created.
 */
#define TRAIN_SUFFIX    ".tr"
  static FILE *FeatureFile = NULL;
  STRING Filename(filename);

  // If no fontname was set, try to extract it from the filename
  STRING CurrFontName = classify_font_name;
  if (CurrFontName == kUnknownFontName) {
    // filename is expected to be of the form [lang].[fontname].exp[num]
    // The [lang], [fontname] and [num] fields should not have '.' characters.
    const char *basename = strrchr(filename.string(), '/');
    const char *firstdot = strchr(basename ? basename : filename.string(), '.');
    const char *lastdot  = strrchr(filename.string(), '.');
    if (firstdot != lastdot && firstdot != NULL && lastdot != NULL) {
      ++firstdot;
      CurrFontName = firstdot;
      CurrFontName[lastdot - firstdot] = '\0';
    }
  }

  // if a feature file is not yet open, open it
  // the name of the file is the name of the image plus TRAIN_SUFFIX
  if (FeatureFile == NULL) {
    Filename += TRAIN_SUFFIX;
    FeatureFile = Efopen(Filename.string(), "wb");
    cprintf("TRAINING ... Font name = %s\n", CurrFontName.string());
  }

  LearnBlob(FeatureDefs, FeatureFile, Blob, denorm, BlobText,
            CurrFontName.string());
}                                // LearnBlob

void LearnBlob	(	const FEATURE_DEFS_STRUCT &	FeatureDefs,
		FILE *	FeatureFile,
		TBLOB *	Blob,
		const DENORM &	denorm,
		const char *	BlobText,
		const char *	FontName
	)

Definition at line 102 of file blobclass.cpp.

                                                           {
  CHAR_DESC CharDesc;

  ASSERT_HOST(FeatureFile != NULL);

  CharDesc = ExtractBlobFeatures(FeatureDefs, denorm, Blob);
  if (CharDesc == NULL) {
    cprintf("LearnBLob: CharDesc was NULL. Aborting.\n");
    return;
  }

  if (ValidCharDescription(FeatureDefs, CharDesc)) {
    // label the features with a class name and font name
    fprintf(FeatureFile, "\n%s %s\n", FontName, BlobText);

    // write micro-features to file and clean up
    WriteCharDescription(FeatureDefs, FeatureFile, CharDesc);
  } else {
    tprintf("Blob learned was invalid!\n");
  }
  FreeCharDescription(CharDesc);

}                                // LearnBlob

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Variable Documentation

char* classify_font_name = kUnknownFontName

"Default font name to be used in training"

Definition at line 39 of file blobclass.cpp.

char imagefile[]

---------------------------------------------------------------------------- Global Data Definitions and Declarations ----------------------------------------------------------------------------