do_ocr_single_class_cnnT_do_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn (Operator)

Name

do_ocr_single_class_cnnT_do_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn — 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)

def do_ocr_single_class_cnn(character: HObject, image: HObject, ocrhandle: HHandle, num: Sequence[int]) -> Tuple[Sequence[str], Sequence[float]]

def do_ocr_single_class_cnn_s(character: HObject, image: HObject, ocrhandle: HHandle, num: Sequence[int]) -> Tuple[str, float]

Description

do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn 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 ClassClassClassclassValclass 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_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn, 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_cnnDoOcrMultiClassCnnDoOcrMultiClassCnndo_ocr_multi_class_cnn must be used.

In most cases, do_ocr_multi_class_cnndo_ocr_multi_class_cnnDoOcrMultiClassCnnDoOcrMultiClassCnndo_ocr_multi_class_cnn should be preferred over do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn, since do_ocr_multi_class_cnndo_ocr_multi_class_cnnDoOcrMultiClassCnnDoOcrMultiClassCnndo_ocr_multi_class_cnn is typically faster than a loop with do_ocr_single_class_cnndo_ocr_single_class_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn. 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_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn has to be used if the nth-best class has to be examined explicitly for n greater than one.

A string of the number (alternatively displayed as ) in ClassClassClassclassValclass signifies that the region has been classified as rejection class.

Execution Information

Parameters

CharacterCharacterCharactercharactercharacter (input_object)  region objectHRegionHObjectHObjectHobject

Character to be recognized.

ImageImageImageimageimage (input_object)  singlechannelimage objectHImageHObjectHObjectHobject (byte / uint2)

Gray values of the character.

OCRHandleOCRHandleOCRHandleOCRHandleocrhandle (input_control)  ocr_cnn HOCRCnn, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Handle of the OCR classifier.

NumNumNumnumnum (input_control)  integer-array HTupleSequence[int]HTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Number of best classes to determine.

Default: 1

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

ClassClassClassclassValclass (output_control)  string(-array) HTupleSequence[str]HTupleHtuple (string) (string) (HString) (char*)

Result of classifying the character with the CNN.

ConfidenceConfidenceConfidenceconfidenceconfidence (output_control)  real(-array) HTupleSequence[float]HTupleHtuple (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_cnnDoOcrSingleClassCnnDoOcrSingleClassCnndo_ocr_single_class_cnn returns the value 2 ( H_MSG_TRUE) . If necessary, an exception is raised.

Possible Predecessors

read_ocr_class_cnnread_ocr_class_cnnReadOcrClassCnnReadOcrClassCnnread_ocr_class_cnn

Alternatives

do_ocr_multi_class_cnndo_ocr_multi_class_cnnDoOcrMultiClassCnnDoOcrMultiClassCnndo_ocr_multi_class_cnn

Module

OCR/OCV