MATLAB车牌识别系统设计研究及优化方法分析

Automotive license plate recognition system based on MATLAB is an important research topic in the field of intelligent transportation, which has developed rapidly in recent years with the advancement of computer vision and pattern recognition technologies. In an automatic license plate recognition system, it is crucial to accurately segment the license plate from the acquired image, as the accuracy of the localization directly affects the recognition rate of the license plate characters. This graduation project focuses on researching the current status and existing technologies of license plate recognition systems, and develops a MATLAB-based license plate recognition system. By writing MATLAB code, various methods for solving vehicle image issues are analyzed and compared, and approaches for license plate preprocessing, coarse positioning, and precise positioning are proposed. The approach adopted in this project is based on edge detection, where the characteristics of the license plate are extracted from the vehicle image by edge extraction, leading to an initial localization of the license plate region. Subsequently, the prior knowledge and distribution characteristics of the license plate are used to binarize the image of the license plate region, resulting in a more accurate localization of the license plate. The project has achieved good results in plate positioning. Keywords: recognition rate, license plate localization, binarization, edge detection.