void tess_training_tester( //call tess
const STRING& filename, //filename to output
PBLOB *blob, //blob to match
DENORM *denorm, //de-normaliser
BOOL8 correct, //ly segmented
char *text, //correct text
inT32 count, //chars in text
BLOB_CHOICE_LIST *ratings //list of results
) {
TBLOB *tessblob; //converted blob
TEXTROW tessrow; //dummy row
if (correct) {
classify_norm_method.set_value(character); // force char norm spc 30/11/93
tess_bn_matching.set_value(false); //turn it off
tess_cn_matching.set_value(false);
//convert blob
tessblob = make_tess_blob (blob, TRUE);
//make dummy row
make_tess_row(denorm, &tessrow);
//learn it
LearnBlob(filename, tessblob, &tessrow, text);
free_blob(tessblob);
}
}
/*---------------------------------------------------------------------------*/
void LearnBlob(const FEATURE_DEFS_STRUCT &FeatureDefs, const STRING& filename,
TBLOB * Blob, const DENORM& denorm, const char* BlobText) {
/*
** 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(), "w");
cprintf("TRAINING ... Font name = %s\n", CurrFontName.string());
}
LearnBlob(FeatureDefs, FeatureFile, Blob, denorm, BlobText,
CurrFontName.string());
} // LearnBlob
void tess_training_tester( //call tess
PBLOB *blob, //blob to match
DENORM *denorm, //de-normaliser
BOOL8 correct, //ly segmented
char *text, //correct text
INT32 count, //chars in text
BLOB_CHOICE_LIST *ratings //list of results
) {
TBLOB *tessblob; //converted blob
TEXTROW tessrow; //dummy row
if (correct) {
NormMethod = character; //Force char norm spc 30/11/93
tess_bn_matching = FALSE; //turn it off
tess_cn_matching = FALSE;
//convert blob
tessblob = make_tess_blob (blob, TRUE);
//make dummy row
make_tess_row(denorm, &tessrow);
//learn it
LearnBlob(tessblob, &tessrow, text, count);
free_blob(tessblob);
}
}