Optical Character Recognition (OCR)
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).
Citar como
Diego Barragán (2024). Optical Character Recognition (OCR) (https://www.mathworks.com/matlabcentral/fileexchange/18169-optical-character-recognition-ocr), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- 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 >
Etiquetas
Agradecimientos
Inspiración para: Music Note Recogination, asphere parameters, OPTICAL CHARACTER RECOGNITION(lower case and space included)
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