License Plate Recognition System Implementation Using MATLAB

In this project, we implement a license plate recognition system using MATLAB. License plate recognition represents a significant application in computer vision and machine learning, with practical implementations in automated traffic management, suspect vehicle tracking, and automated parking lot management. Our implementation process involves utilizing image processing and machine learning algorithms to perform vehicle image segmentation, feature extraction, and classification. This requires comprehensive understanding and mastery of MATLAB's Image Processing Toolbox and Machine Learning Toolbox. The project implementation typically involves several key stages: image preprocessing using functions like imread() and imresize(), license plate localization through edge detection algorithms such as Sobel or Canny, character segmentation using morphological operations like imerode() and imdilate(), and finally optical character recognition (OCR) implementation using machine learning classifiers like SVM or CNN. Therefore, this project not only focuses on the practical implementation of license plate recognition but also provides in-depth exploration of MATLAB's capabilities in image processing and machine learning applications.