Vehicle license plate recognition technology is the key technology in the Intelligent traffic management system . The article which bases on the Digital image processing theory and combins the computer vision with pattern recognition technology does research into vehicle license plate recognition system . In order to improve the system vehicle license recognition ability,the article puts forward a method of License plate localization which combins comprehensive color feature with projection feature. Character segmentation uses the projection method . Character feature chooses the heavily complementary coarse mesh feature, projection feature and the peripheral outline feature. Finally ,we use BP neural network to recognize License plate character and the recognition consists of Chinese character, letter and letter number. The experiment shows that combining the variety of image processing technology with pattern recognition technology can improve the recognition ability of the system effectively.The method the system uses achieves preferable recognition results.
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张燕,任安虎. 多特征与BP神经网络车牌识别系统研究[J]. 科学技术与工程, 2012, 12(22): . zhangyan, Ren An-hu. Research on Multiple Feature andBP Neural Network Licence Plate Recognition System[J]. Science Technology and Engineering,2012,12(22).