License Plate Recognition System Based on Matlab

With the rapid development of science and technology, automobiles are becoming more and more popular in China. In this process, license plate positioning and recognition technology has become the core key of license plate recognition system. With the help of license plate positioning technology, we can accurately obtain the location information and center point of the license plate. In this paper, a license plate recognition system is studied based on MATLAB platform. The system is mainly divided into five parts: image acquisition, image preprocessing, segmentation, feature extraction and character recognition. In image acquisition, we used a high-definition CCD camera to collect vehicle images. In order to improve the clarity of the image, we use image preprocessing techniques, including graying, image enhancement, edge detection and so on. As for segmentation, we combined the methods based on color localization and morphological processing to accurately locate the license plate. For license plate feature extraction, we use vertical and horizontal projection algorithms for license plate characters. Finally, for character recognition, we employ a support vector machine (SVM) algorithm for license plate characters. The experimental results show that the system has a high recognition rate, can accurately recognize the license plate of vehicles under different lighting and weather conditions, and has a certain degree of stability and robustness. The research in this paper has certain practical application value for realizing intelligent transportation system and improving the efficiency of traffic management.