License Plate Recognition System Using MATLAB: Detection, Segmentation and Character Recognition

This project develops a comprehensive license plate recognition system using MATLAB programming language, capable of automatically detecting license plates, segmenting individual characters, and performing character recognition. The implementation utilizes computer vision techniques including image preprocessing, edge detection, and morphological operations for accurate plate localization and background separation. The character segmentation phase employs connected component analysis and projection-based methods to isolate individual characters. For recognition, the system incorporates machine learning algorithms such as template matching or neural networks to classify each character. This system has practical applications in traffic management, parking lot automation, and security surveillance. Key MATLAB functions used include imread for image input, edge for boundary detection, regionprops for character analysis, and classification learner for character recognition. Ongoing development focuses on improving algorithm accuracy and robustness through enhanced preprocessing techniques and advanced machine learning models.