MATLAB Implementation for License Plate Recognition

This text introduces a MATLAB-based license plate recognition program that includes sample images for algorithm training and testing. The implementation employs image processing techniques such as edge detection, morphological operations, and region analysis to accurately locate license plate regions within images. For character recognition, the system utilizes machine learning algorithms including optical character recognition (OCR) and template matching methods to identify characters on the license plates. Key MATLAB functions used in this implementation include imread for image loading, rgb2gray for color conversion, edge for boundary detection, and regionprops for feature extraction. The program enables automated license plate recognition, significantly improving efficiency and accuracy in traffic management systems. Furthermore, the modular design allows for customization and optimization to adapt to various license plate formats and environmental conditions, making it suitable for different real-world scenarios. Additional enhancements can incorporate deep learning approaches using MATLAB's Computer Vision Toolbox for improved recognition performance under challenging conditions.