cv::text::OCRHolisticWordRecognizer Class Reference

OCRHolisticWordRecognizer class provides the functionallity of segmented wordspotting. Given a predefined vocabulary , a DictNet is employed to select the most probable word given an input image. More...

#include <opencv2/text/ocr.hpp>

Inheritance diagram for cv::text::OCRHolisticWordRecognizer:

Public Member Functions
virtual void	run (Mat &image, std::string &output_text, std::vector< Rect > *component_rects=NULL, std::vector< std::string > *component_texts=NULL, std::vector< float > *component_confidences=NULL, int component_level=OCR_LEVEL_WORD) CV_OVERRIDE=0
virtual void	run (Mat &image, Mat &mask, std::string &output_text, std::vector< Rect > *component_rects=NULL, std::vector< std::string > *component_texts=NULL, std::vector< float > *component_confidences=NULL, int component_level=OCR_LEVEL_WORD) CV_OVERRIDE=0
	Recognize text using a segmentation based word-spotting/classifier cnn. More...
Public Member Functions inherited from cv::text::BaseOCR
virtual	~BaseOCR ()

Static Public Member Functions
static Ptr< OCRHolisticWordRecognizer >	create (const std::string &archFilename, const std::string &weightsFilename, const std::string &wordsFilename)
	Creates an instance of the OCRHolisticWordRecognizer class. More...

Detailed Description

OCRHolisticWordRecognizer class provides the functionallity of segmented wordspotting. Given a predefined vocabulary , a DictNet is employed to select the most probable word given an input image.

DictNet is described in detail in: Max Jaderberg et al.: Reading Text in the Wild with Convolutional Neural Networks, IJCV 2015 http://arxiv.org/abs/1412.1842

Member Function Documentation

create()

static Ptr<OCRHolisticWordRecognizer> cv::text::OCRHolisticWordRecognizer::create ( const std::string &  archFilename, const std::string &  weightsFilename, const std::string &  wordsFilename  )

static

Creates an instance of the OCRHolisticWordRecognizer class.

run() [1/2]

virtual void cv::text::OCRHolisticWordRecognizer::run ( Mat &  image, std::string &  output_text, std::vector< Rect > *  component_rects = NULL, std::vector< std::string > *  component_texts = NULL, std::vector< float > *  component_confidences = NULL, int  component_level = OCR_LEVEL_WORD  )

pure virtual

Implements cv::text::BaseOCR.

run() [2/2]

virtual void cv::text::OCRHolisticWordRecognizer::run ( Mat &  image, Mat &  mask, std::string &  output_text, std::vector< Rect > *  component_rects = NULL, std::vector< std::string > *  component_texts = NULL, std::vector< float > *  component_confidences = NULL, int  component_level = OCR_LEVEL_WORD  )

pure virtual

Recognize text using a segmentation based word-spotting/classifier cnn.

Takes image on input and returns recognized text in the output_text parameter. Optionally provides also the Rects for individual text elements found (e.g. words), and the list of those text elements with their confidence values.

Parameters

image	Input image CV_8UC1 or CV_8UC3
mask	is totally ignored and is only available for compatibillity reasons
output_text	Output text of the the word spoting, always one that exists in the dictionary.
component_rects	Not applicable for word spotting can be be NULL if not, a single elemnt will be put in the vector.
component_texts	Not applicable for word spotting can be be NULL if not, a single elemnt will be put in the vector.
component_confidences	Not applicable for word spotting can be be NULL if not, a single elemnt will be put in the vector.
component_level	must be OCR_LEVEL_WORD.

Implements cv::text::BaseOCR.

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The documentation for this class was generated from the following file:

• opencv2/text/ocr.hpp