MATLAB-based OCR Program for English Character Recognition

This MATLAB-based program enables Optical Character Recognition (OCR) for English characters. OCR technology, which stands for Optical Character Recognition, is a computer-based technique that automatically identifies characters within digital images. The implementation utilizes MATLAB's Image Processing Toolkit and Computer Vision System toolbox to perform essential preprocessing steps including image binarization using Otsu's thresholding, noise reduction through morphological operations, and character segmentation via connected component analysis. Key algorithms employed include feature extraction using gradient-based descriptors and classification through template matching or machine learning approaches like k-nearest neighbors (KNN). The program efficiently converts images containing English characters into editable text formats, facilitating subsequent text processing and analysis tasks. By leveraging MATLAB's matrix computation capabilities and specialized functions such as regionprops for character property analysis and ocr function for built-in recognition, this implementation achieves high accuracy in character identification. The modular code structure allows for customization of recognition parameters and integration with additional preprocessing techniques, making it suitable for various document digitization applications where efficient English character recognition is required for improved workflow productivity and data accuracy.