MATLAB Program for Text Detection and Extraction in JPEG Images

This program implements a text detection and extraction system using MATLAB, specifically designed for JPEG format images that can be utilized for Optical Character Recognition (OCR) purposes. Key functionality includes: 1. Image Preprocessing: Enhances input images through contrast improvement, noise reduction using filters like median or Gaussian, and binary conversion using thresholding techniques such as Otsu's method to improve text detection accuracy. 2. Text Detection: Employs computer vision algorithms including edge detection (Canny/Sobel), morphological operations, and connected component analysis to identify text regions, with bounding box visualization using regionprops function for precise text localization. 3. Text Extraction: Implements OCR engine integration (using MATLAB's vision.OCRTrainer or third-party libraries) to convert detected text regions into machine-readable format, supporting output to text files or further processing through text segmentation and character recognition algorithms. This solution enables efficient and accurate text extraction from images, facilitating downstream analysis and processing workflows through its modular MATLAB implementation.