License Plate Recognition Using Neural Network With Matlab

With the fantastic spur in economy and rapid development of the owning amount of automobile, the highway communication becomes one of the most important communications and transportation ways in our country. And now it is infrastructures that the country developed energetically. So it is exactly important that the modernization and intelligence of communication management. Intelligent Transportation System (ITS) which makes use of electronic information technology to raise management efficiency, traffic efficiency and traffic security has become the theme of traffic administration.License Plate Recognition (LPR) is one of the key technologies of the modernization and intelligence of communication management. Compared with traditional vehicles managing methods, it improves managing efficiency and level, and saves manpower and material resources, realizes scientific standard management and ensures traffic order. Therefore, it has comprehensive application prospect.The neural network pattern recognition is one of the important research areas in the field of pattern recognition recently. The neural network is a collateral, non-linear and redundancy system, which makes it different in the express, memory and treat of information from traditional method. The non-linear and ability of self-study and self-organization make it have unique predominance.In the intelligent transportation management and detection, because people require a more accurate license plate recognition system, it will have some significance on theory and practice that combine the neural network with the LPR.The paper choose the recognition method based on Back Programs (BP) neural network. The traditional algorithm is improved, and thus the recognition rate was improved.