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Optical Character Recognition

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Name	Description / Applications	Modules
AccessCharacterSample	Provides access to internal data of the CharacterSample structure.	OCR
AccessOcrCandidate	Returns fields of OcrCandidate structure.	OCR
ExtractText	Ready-to-use tool for extracting and splitting character to single characters.	OCR
ExtractText2	Ready-to-use tool for extracting and splitting text elements to single characters.	OCR
GroupRegionsByLines	Splits an array of blobs by distance to computed base lines.	OCR
MakeCharacterSamples	Creates training font samples from the provided regions.	OCR
OcrMlpModelToOcrModel	Converts OcrMlpModel(old type) to OcrModel.	OCR
OcrModelToOcrMlpModel	Converts OcrModel to OcrMlpModel.	OCR
OcrModelToOcrSvmModel	Converts OcrModel to OcrSvmModel.	OCR
OcrSvmModelToOcrModel	Converts OcrSvmModel(old type) to OcrModel.	OCR
ReadText	Ready-to-use tool for reading text from images using the OCR technique.	OCR
RecognizeCharacters	Classifies input regions into characters. Based on the Multi-Layer Perceptron model. Usually the last, yet the most important step of optical character recognition or verification.	OCR
SplitRegionIntoExactlyNCharacters	Splits the input region into a fixed-size array of regions corresponding to individual characters. Text segmentation when the number of characters is known, usually followed by a RecognizeCharacters filter.	OCR
SplitRegionIntoMultipleCharacters	Splits the input region into an array of regions corresponding to individual characters. Text segmentation when the number of characters is unknown, usually followed by a RecognizeCharacters filter.	OCR
TrainOcr_MLP	Trains an OCR multilayer perceptron classifier.	OCR
TrainOcr_SVM	Trains an OCR support vector machines classifier.	OCR