do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp (Operator)

Name

do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp — Classify multiple characters with an OCR classifier.

Signature

Description

do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp computes the best class for each of the characters given by the regions CharacterCharacterCharacterCharacterCharactercharacter and the gray values ImageImageImageImageImageimage with the OCR classifier OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleOCRHandle and returns the classes in ClassClassClassClassClassclassVal and the corresponding confidences (probabilities) of the classes in ConfidenceConfidenceConfidenceConfidenceConfidenceconfidence. In contrast to do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp, do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp can classify multiple characters in one call, and therefore typically is faster than a loop that uses do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp to classify single characters. However, do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp can only return the best class of each character. Because the confidences can be interpreted as probabilities (see classify_class_mlpclassify_class_mlpClassifyClassMlpclassify_class_mlpClassifyClassMlpClassifyClassMlp and evaluate_class_mlpevaluate_class_mlpEvaluateClassMlpevaluate_class_mlpEvaluateClassMlpEvaluateClassMlp), and it is therefore easy to check whether a character has been classified with too much uncertainty, this is usually not a disadvantage, except in cases where the classes overlap so much that in many cases the second best class must be examined to be able to decide the class of the character. In these cases, do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp should be used. Before calling do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp, the classifier must be trained with trainf_ocr_class_mlptrainf_ocr_class_mlpTrainfOcrClassMlptrainf_ocr_class_mlpTrainfOcrClassMlpTrainfOcrClassMlp.

Parallelization

• Multithreading type: reentrant (runs in parallel with non-exclusive operators).
• Multithreading scope: global (may be called from any thread).
• Automatically parallelized on tuple level.

Parameters

Result

If the parameters are valid, the operator do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

Possible Predecessors

trainf_ocr_class_mlptrainf_ocr_class_mlpTrainfOcrClassMlptrainf_ocr_class_mlpTrainfOcrClassMlpTrainfOcrClassMlp, read_ocr_class_mlpread_ocr_class_mlpReadOcrClassMlpread_ocr_class_mlpReadOcrClassMlpReadOcrClassMlp

Alternatives

do_ocr_word_mlpdo_ocr_word_mlpDoOcrWordMlpdo_ocr_word_mlpDoOcrWordMlpDoOcrWordMlp, do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp

See also

create_ocr_class_mlpcreate_ocr_class_mlpCreateOcrClassMlpcreate_ocr_class_mlpCreateOcrClassMlpCreateOcrClassMlp, classify_class_mlpclassify_class_mlpClassifyClassMlpclassify_class_mlpClassifyClassMlpClassifyClassMlp

Module

OCR/OCV