ClassesClasses | | Operators

do_ocr_single_class_cnnT_do_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnn (Operator)

Name

do_ocr_single_class_cnnT_do_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnn — Classify a single character with an CNN-based OCR classifier.

Signature

do_ocr_single_class_cnn(Character, Image : : OCRHandle, Num : Class, Confidence)

Herror T_do_ocr_single_class_cnn(const Hobject Character, const Hobject Image, const Htuple OCRHandle, const Htuple Num, Htuple* Class, Htuple* Confidence)

void DoOcrSingleClassCnn(const HObject& Character, const HObject& Image, const HTuple& OCRHandle, const HTuple& Num, HTuple* Class, HTuple* Confidence)

HTuple HRegion::DoOcrSingleClassCnn(const HImage& Image, const HOCRCnn& OCRHandle, const HTuple& Num, HTuple* Confidence) const

HString HRegion::DoOcrSingleClassCnn(const HImage& Image, const HOCRCnn& OCRHandle, const HTuple& Num, double* Confidence) const

HTuple HOCRCnn::DoOcrSingleClassCnn(const HRegion& Character, const HImage& Image, const HTuple& Num, HTuple* Confidence) const

HString HOCRCnn::DoOcrSingleClassCnn(const HRegion& Character, const HImage& Image, const HTuple& Num, double* Confidence) const

static void HOperatorSet.DoOcrSingleClassCnn(HObject character, HObject image, HTuple OCRHandle, HTuple num, out HTuple classVal, out HTuple confidence)

HTuple HRegion.DoOcrSingleClassCnn(HImage image, HOCRCnn OCRHandle, HTuple num, out HTuple confidence)

string HRegion.DoOcrSingleClassCnn(HImage image, HOCRCnn OCRHandle, HTuple num, out double confidence)

HTuple HOCRCnn.DoOcrSingleClassCnn(HRegion character, HImage image, HTuple num, out HTuple confidence)

string HOCRCnn.DoOcrSingleClassCnn(HRegion character, HImage image, HTuple num, out double confidence)

Description

do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnnDoOcrSingleClassCnn computes the best classification for the character given by the region CharacterCharacterCharacterCharactercharacter and the gray values ImageImageImageImageimage with the OCR classifier OCRHandleOCRHandleOCRHandleOCRHandleOCRHandle and returns the best NumNumNumNumnum classes in ClassClassClassClassclassVal and the corresponding confidences (probabilities) of the classes in ConfidenceConfidenceConfidenceConfidenceconfidence. Because multiple classes may be returned by do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnnDoOcrSingleClassCnn, CharacterCharacterCharacterCharactercharacter may only contain a single region (a single character). If multiple characters should be classified in a single call, do_ocr_multi_class_cnndo_ocr_multi_class_cnnDoOcrMultiClassCnnDoOcrMultiClassCnnDoOcrMultiClassCnn must be used.

In most cases, do_ocr_multi_class_cnndo_ocr_multi_class_cnnDoOcrMultiClassCnnDoOcrMultiClassCnnDoOcrMultiClassCnn should be preferred over do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnnDoOcrSingleClassCnn, since do_ocr_multi_class_cnndo_ocr_multi_class_cnnDoOcrMultiClassCnnDoOcrMultiClassCnnDoOcrMultiClassCnn is typically faster than a loop with do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnnDoOcrSingleClassCnn. Furthermore, the resulting confidences can be interpreted as probabilities. They indicate the uncertainty of a character's classification result. The operator do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnnDoOcrSingleClassCnn has to be used if the nth-best class has to be examined explicitly for n greater than one.

The result '\x1A'"\x1A""\x1A""\x1A""\x1A" in ClassClassClassClassclassVal signifies that the region has been classified as rejection class.

Execution Information

Parameters

CharacterCharacterCharacterCharactercharacter (input_object)  region objectHRegionHRegionHobject

Character to be recognized.

ImageImageImageImageimage (input_object)  singlechannelimage objectHImageHImageHobject (byte / uint2)

Gray values of the character.

OCRHandleOCRHandleOCRHandleOCRHandleOCRHandle (input_control)  ocr_cnn HOCRCnn, HTupleHTupleHtuple (integer) (IntPtr) (Hlong) (Hlong)

Handle of the OCR classifier.

NumNumNumNumnum (input_control)  integer-array HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Number of best classes to determine.

Default value: 1

Suggested values: 1, 2, 3, 4, 5

ClassClassClassClassclassVal (output_control)  string(-array) HTupleHTupleHtuple (string) (string) (HString) (char*)

Result of classifying the character with the CNN.

ConfidenceConfidenceConfidenceConfidenceconfidence (output_control)  real(-array) HTupleHTupleHtuple (real) (double) (double) (double)

Confidence(s) of the class(es) of the character.

Example (HDevelop)

read_image(Image, 'bottle2')
OffsetRow := 100
OffsetCol := 108
read_ocr_class_cnn('Universal_0-9_NoRej.occ', OCRHandle)
* Select each digit and use do_ocr_single_class_cnn to apply OCR
gen_rectangle1(ROI_Date, OffsetRow, OffsetCol, OffsetRow, OffsetCol)
for I := 1 to 6 by 1
  Offset := I % 2 * 10
  smallest_rectangle1(ROI_Date, Row1, Col1, Row2, Col2)
  gen_rectangle1(ROI_Date, OffsetRow, Offset + Col2, OffsetRow + 42, \
  Col2 + Offset + 31)
  do_ocr_single_class_cnn(ROI_Date, Image, OCRHandle, 1, Class, Confidence)
endfor

Result

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

Possible Predecessors

read_ocr_class_cnnread_ocr_class_cnnReadOcrClassCnnReadOcrClassCnnReadOcrClassCnn

Alternatives

do_ocr_multi_class_cnndo_ocr_multi_class_cnnDoOcrMultiClassCnnDoOcrMultiClassCnnDoOcrMultiClassCnn

Module

OCR/OCV


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