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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).
Cite As
Diego Barragán (2026). Optical Character Recognition (OCR) (https://in.mathworks.com/matlabcentral/fileexchange/18169-optical-character-recognition-ocr), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Music Note Recogination, asphere parameters, OPTICAL CHARACTER RECOGNITION(lower case and space included)
General Information
- Version 1.4.0.0 (95.6 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
