MATLAB Code Implementation for License Plate Recognition System

This is a comprehensive license plate recognition system implemented in MATLAB, featuring morphological operations for license plate localization and neural network-based character recognition. The program employs image processing techniques including grayscale conversion, edge detection, and morphological closing operations to isolate license plate regions. For character recognition, it implements a feedforward neural network trained on segmented character images, utilizing backpropagation for learning. Although designed with simplicity in mind, the system effectively meets basic recognition requirements and includes multiple image examples demonstrating its practical application. This implementation serves as an excellent educational resource for beginners, providing insights into computer vision workflows and algorithmic thinking. The modular code structure allows for easy extension and enhancement, with potential improvements including more robust preprocessing algorithms, advanced neural network architectures, or real-time processing capabilities. Key functions in the implementation include: - imread() for image input - rgb2gray() for color conversion - strel() and imclose() for morphological operations - regionprops() for plate region analysis - patternnet() for neural network creation - train() for network training The code demonstrates fundamental concepts in digital image processing and machine learning, making it ideal for understanding the complete license plate recognition pipeline from image acquisition to character identification.