| 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 , but the traditional transportation practical demands nowadays,also crowded traffic needs more advanced and more effective traffic administration and system. So Intelligent Transportation Systems(ITS) which makes use of image preprocessing technology and communication technology becomes main direction of traffic administration.License Plate Recognition(LPR) is one of the critical techniques and the key of ITS. The paper is based on image preprocessing technology,license plate location technology,character segmentation technology and BP neural network technology to study LPR. First, through gray equalization,median filter and so on, the noise will be reduced well and the lengthways-texture area can be strengthened; through deeply study in license plate character and license plate location, a license plate location algorithm based on horizontal scan and vertical projection is put forward that can search the license plate area accurately; based on structure-characteristic and transcendent information of license plate, character segmentation will be done well; last, the paper analyzes the structure of the neural network with relevant theories and emphatically discusses the theory principle of the neural network and the application method in character recognition with it.As the test result, it proves that this recognition system can relatively accurate to locate license plate and recognize characters and system's performance is good. It shows that combined pretreatments and recognition techniques can improve the ability of recognition, and the combination of neural network and artificial intelligence under the principle of efficiency and practicality will be two major development tendencies of pattern recognition.
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