The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. This program use Image Processing Toolbox to get it.
For more information, visit: http://www.matpic.com (spanish).
Diego Barragán (2023). Optical Character Recognition (OCR) (https://www.mathworks.com/matlabcentral/fileexchange/18169-optical-character-recognition-ocr), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
- Image Processing and Computer Vision > Image Processing Toolbox > Import, Export, and Conversion >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Text Detection and Recognition >
- AI, Data Science, and Statistics > Text Analytics Toolbox >
- Engineering > Electrical and Computer Engineering > Optics >
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