Method GetAmbiguities

deps/tesseract/classify/adaptmatch.cpp:1640–1677

---------------------------------------------------------------------------*/ * This routine matches blob to the built-in templates * to find out if there are any classes other than the correct * class which are potential ambiguities. * * @param Blob blob to get classification ambiguities for * @param CorrectClass correct class for Blob * * Globals: * - CurrentRatings used by qsort compare

 * @note History: Fri Mar 15 08:08:22 1991, DSJ, Created.
 */
UNICHAR_ID *Classify::GetAmbiguities(TBLOB *Blob,
                                     CLASS_ID CorrectClass) {
  ADAPT_RESULTS *Results = new ADAPT_RESULTS();
  UNICHAR_ID *Ambiguities;
  int i;

  Results->Initialize();
  INT_FX_RESULT_STRUCT fx_info;
  GenericVector<INT_FEATURE_STRUCT> bl_features;
  TrainingSample* sample =
      BlobToTrainingSample(*Blob, classify_nonlinear_norm, &fx_info,
                           &bl_features);
  if (sample == NULL) {
    delete Results;
    return NULL;
  }

  CharNormClassifier(Blob, *sample, Results);
  delete sample;
  RemoveBadMatches(Results);
  Results->match.sort(&UnicharRating::SortDescendingRating);

  /* copy the class id's into an string of ambiguities - don't copy if
     the correct class is the only class id matched */
  Ambiguities = new UNICHAR_ID[Results->match.size() + 1];
  if (Results->match.size() > 1 ||
      (Results->match.size() == 1 &&
          Results->match[0].unichar_id != CorrectClass)) {
    for (i = 0; i < Results->match.size(); i++)
      Ambiguities[i] = Results->match[i].unichar_id;
    Ambiguities[i] = -1;
  } else {
    Ambiguities[0] = -1;
  }

  delete Results;
  return Ambiguities;
}                              /* GetAmbiguities */

// Returns true if the given blob looks too dissimilar to any character
// present in the classifier templates.