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).
Cite As
Diego Barragán (2024). Optical Character Recognition (OCR) (https://www.mathworks.com/matlabcentral/fileexchange/18169-optical-character-recognition-ocr), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- 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 and Statistics > Text Analytics Toolbox >
- Engineering > Electrical and Computer Engineering > Optics >
Tags
Acknowledgements
Inspired: Music Note Recogination, asphere parameters, OPTICAL CHARACTER RECOGNITION(lower case and space included)
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.