Research On Vehicle License Plate Recognition System

With the rapid development of China’s economy, people’s living standards improve fast and fast. The number of cars in our city grow more and more. So intelligent transportation becomes the development tendency in the future. As an important branch of intelligent transportation, license plate recognition system (LPRS) becomes an important research hot spot at home and abroad. Based on the existing researches various positioning, identification, segmentation algorithm, the thesis analysis the various processes of the vehicle identification, then designed and implemented the entire vehicle identification system.Vehicle identification technology is based on the video or image signal as the research foundation. Supplemented by digital image processing, pattern recognition technology, template matching etc. With the image processing and automatic identification, ultimately, the technology can get the basic information of a car.License plate recognition system mainly consists of three parts, license plate, license plate character segmentation, license plate character recognition. This paper introduces the color of the license plate location algorithm and the gray projection plate segmentation algorithm, BP neural network character recognition technology.With the result by Matlab simulation test, the system is able to identify specific information of a car in different environments when we start the system to test the function. After the test, we get expected results which can identify the vehicle information in a high operational efficiency. The system can basically meet the license plate positioning, segmentation, identification when it works in the normal state. This system has a certain value in the area of Intelligent transportation.