Name
do_ocr_single_class_mlpT_do_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp — Classify a single character with an OCR classifier.
Herror do_ocr_single_class_mlp(Hobject Character, Hobject Image, const HTuple& OCRHandle, const HTuple& Num, char* Class, double* Confidence)
Herror do_ocr_single_class_mlp(Hobject Character, Hobject Image, const HTuple& OCRHandle, const HTuple& Num, HTuple* Class, HTuple* Confidence)
HTuple HRegion::DoOcrSingleClassMlp(const HImage& Image, const HOCRMlp& OCRHandle, const HTuple& Num, HTuple* Confidence) const
HTuple HOCRMlp::DoOcrSingleClassMlp(const HRegion& Character, const HImage& Image, const HTuple& Num, HTuple* Confidence) const
void DoOcrSingleClassMlp(const HObject& Character, const HObject& Image, const HTuple& OCRHandle, const HTuple& Num, HTuple* Class, HTuple* Confidence)
HTuple HRegion::DoOcrSingleClassMlp(const HImage& Image, const HOCRMlp& OCRHandle, const HTuple& Num, HTuple* Confidence) const
HString HRegion::DoOcrSingleClassMlp(const HImage& Image, const HOCRMlp& OCRHandle, const HTuple& Num, double* Confidence) const
HTuple HOCRMlp::DoOcrSingleClassMlp(const HRegion& Character, const HImage& Image, const HTuple& Num, HTuple* Confidence) const
HString HOCRMlp::DoOcrSingleClassMlp(const HRegion& Character, const HImage& Image, const HTuple& Num, double* Confidence) const
void HOperatorSetX.DoOcrSingleClassMlp(
[in] IHUntypedObjectX* Character, [in] IHUntypedObjectX* Image, [in] VARIANT OCRHandle, [in] VARIANT Num, [out] VARIANT* Class, [out] VARIANT* Confidence)
VARIANT HRegionX.DoOcrSingleClassMlp(
[in] IHImageX* Image, [in] IHOCRMlpX* OCRHandle, [in] VARIANT Num, [out] VARIANT* Confidence)
VARIANT HOCRMlpX.DoOcrSingleClassMlp(
[in] IHRegionX* Character, [in] IHImageX* Image, [in] VARIANT Num, [out] VARIANT* Confidence)
static void HOperatorSet.DoOcrSingleClassMlp(HObject character, HObject image, HTuple OCRHandle, HTuple num, out HTuple classVal, out HTuple confidence)
HTuple HRegion.DoOcrSingleClassMlp(HImage image, HOCRMlp OCRHandle, HTuple num, out HTuple confidence)
string HRegion.DoOcrSingleClassMlp(HImage image, HOCRMlp OCRHandle, HTuple num, out double confidence)
HTuple HOCRMlp.DoOcrSingleClassMlp(HRegion character, HImage image, HTuple num, out HTuple confidence)
string HOCRMlp.DoOcrSingleClassMlp(HRegion character, HImage image, HTuple num, out double confidence)
do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp computes the best NumNumNumNumNumnum
classes of the character given by the region 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. Because multiple classes may be returned by
do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp, CharacterCharacterCharacterCharacterCharactercharacter may only contain
a single region (a single character). If multiple characters should
be classified in a single call, do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp must
be used. Because do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp typically is faster
than a loop with do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp and 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, in most cases
do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp should be used, unless the
second-best class should be examined explicitly. Before calling
do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp, the classifier must be trained with
trainf_ocr_class_mlptrainf_ocr_class_mlpTrainfOcrClassMlptrainf_ocr_class_mlpTrainfOcrClassMlpTrainfOcrClassMlp.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Character to be recognized.
Gray values of the character.
Handle of the OCR classifier.
Number of best classes to determine.
Default value: 1
Suggested values: 1, 2, 3, 4, 5
Result of classifying the character with the
MLP.
Confidence(s) of the class(es) of the character.
If the parameters are valid, the operator
do_ocr_single_class_mlpdo_ocr_single_class_mlpDoOcrSingleClassMlpdo_ocr_single_class_mlpDoOcrSingleClassMlpDoOcrSingleClassMlp returns the value 2 (H_MSG_TRUE). If
necessary, an exception is raised.
trainf_ocr_class_mlptrainf_ocr_class_mlpTrainfOcrClassMlptrainf_ocr_class_mlpTrainfOcrClassMlpTrainfOcrClassMlp,
read_ocr_class_mlpread_ocr_class_mlpReadOcrClassMlpread_ocr_class_mlpReadOcrClassMlpReadOcrClassMlp
do_ocr_multi_class_mlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpdo_ocr_multi_class_mlpDoOcrMultiClassMlpDoOcrMultiClassMlp
create_ocr_class_mlpcreate_ocr_class_mlpCreateOcrClassMlpcreate_ocr_class_mlpCreateOcrClassMlpCreateOcrClassMlp,
classify_class_mlpclassify_class_mlpClassifyClassMlpclassify_class_mlpClassifyClassMlpClassifyClassMlp
OCR/OCV