MATLAB Code Implementation for Text Recognition with Test Images

The article discusses our implementation of text recognition technology, utilizing test images to demonstrate its excellent performance. This optical character recognition (OCR) technology automatically converts text within images into editable digital text. Our implementation leverages MATLAB's Computer Vision Toolbox and Image Processing Toolbox, employing key functions such as ocr() for text detection and recognize() for character recognition. The algorithm workflow includes image preprocessing using imadjust() for contrast enhancement, rgb2gray() for color conversion, and morphological operations for noise reduction. Through comprehensive testing, we found this text recognition technology performs exceptionally well, accurately identifying text content within images with high precision. This technology has broad application prospects in various scenarios including document scanning, book digitization, automatic license plate recognition, and form processing. We are highly satisfied with the performance of this text recognition implementation and believe it will provide significant convenience and efficiency for users working with document digitization projects.