Explore MATLAB source code curated for "OCR" with clean implementations, documentation, and examples.
A MATLAB-based Optical Character Recognition implementation featuring image processing algorithms, pattern recognition techniques, and post-processing methods for accurate text extraction from images.
Handwritten digit recognition is a specialized branch of Optical Character Recognition (OCR) technology that focuses on developing computer algorithms to automatically identify human-written Arabic numerals on paper. The system typically involves processing sample images through preprocessing techniques, feature extraction methods, and provides error metric curves for neural network training evaluation, often visualized using libraries like Matplotlib or TensorBoard.
Complete MATLAB source code for Optical Character Recognition (OCR) system utilizing Neural Networks with comprehensive training algorithms and testing modules
A MATLAB-based implementation for detecting and extracting text regions from JPEG images, designed for optical character recognition (OCR) applications with preprocessing and text localization capabilities.
Optical Character Recognition (OCR) - A main MATLAB program with multiple callback functions. Executing the main program enables image target object detection, extraction, and character recognition using a letter library function to display corresponding characters.