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Optical Character Recognition

Select a function from the list below.

Icon	Name	Description
	AccessCharacterSample	Provides access to internal data of the CharacterSample structure.
	AccessOcrCandidate	Returns fields of OcrCandidate structure.
	ExtractText	Ready-to-use tool for extracting and splitting character to single characters.
	GroupRegionsByLines	Splits an array of blobs by distance to a computed base lines
	LoadOcrMlpModel	Loads serialized OcrMlpModel object from fidata file.
	LoadOcrModel	Loads serialized OcrMlpModel object from fidata file.
	LoadOcrSvmModel	Loads serialized OcrSvmModel object from fidata file.
	MakeCharacterSamples	Creates training font samples from the provided regions.
	OcrMlpModelToOcrModel	Converts OcrMlpModel(old type) to OcrModel
	OcrModelToOcrMlpModel	Converts OcrModel to OcrMlpModel
	OcrModelToOcrSvmModel	Converts OcrModel to OcrSvmModel
	OcrSvmModelToOcrModel	Converts OcrSvmModel(old type) to OcrModel
	ReadText	Ready-to-use tool for reading text from images using the OCR technique.
	RecognizeCharacters	Usually the last, yet the most important step of optical character recognition or verification.
	SaveOcrMlpModel	Saves serialized OcrMlpModel object as fidata file.
	SaveOcrModel	Saves serialized OcrMlpModel object as fidata file.
	SaveOcrSvmModel	Saves serialized OcrSvmModel object as fidata file.
	SplitRegionIntoExactlyNCharacters	Text segmentation when the number of characters is known, usually followed by a RecognizeCharacters filter.
	SplitRegionIntoMultipleCharacters	Text segmentation when the number of characters is unknown, usually followed by a RecognizeCharacters filter.
	TrainOcr_MLP	Trains an OCR multilayer perceptron classifier.
	TrainOcr_SVM	Trains an OCR support vector machines classifier.