Vehicle License Plate Recognition Implementation using MATLAB

This repository contains the complete source code developed for my graduation project, which implements a robust vehicle license plate recognition system using MATLAB. The implementation follows a systematic approach starting with comprehensive image preprocessing techniques including noise reduction, contrast enhancement, and edge detection using functions like imfilter and edge operators. Feature extraction is performed through advanced methods such as character segmentation and template matching algorithms. The core recognition engine employs machine learning algorithms, specifically trained using pattern recognition techniques and possibly neural network implementations through MATLAB's Neural Network Toolbox. The system was designed to handle various license plate formats and adapt to different lighting conditions by incorporating adaptive thresholding and illumination normalization techniques. Throughout the development process, significant consideration was given to handling diverse license plate types and varying environmental conditions. Key MATLAB functions utilized include image processing toolbox functions for morphological operations, statistical analysis for character recognition, and optimization algorithms for improving recognition accuracy. This project provided substantial learning opportunities in digital image processing, machine learning implementation, and advanced programming techniques in MATLAB, significantly enhancing my technical skills in computer vision applications.