MATLAB Text Recognition

In this project, we develop a MATLAB program capable of extracting text and numerical data from photographs and exporting the results to text files. The implementation involves several key image processing stages: image segmentation and character recognition. Image segmentation divides the input image into smaller regions using techniques like bounding box detection or connected component analysis through functions such as regionprops() or bwlabel(). Character recognition employs Optical Character Recognition (OCR) algorithms that compare these segmented regions against trained character templates using MATLAB's Computer Vision Toolbox functions like ocr() and recognize(). The program utilizes preprocessing techniques including image binarization with imbinarize(), noise removal using medfilt2(), and contrast enhancement via imadjust() to improve recognition accuracy. When successfully implemented, this text extraction system can be integrated into various applications such as automated data entry systems, document scanning solutions, and digital archiving tools.