Research And Design Of License Plate Recognition System Based On Neural Network

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. Also crowded urban traffic needs more advanced and more effective traffic administration and control system. So Intelligent Transportation Systems (ITS) which makes use of electronic information technology to raise management efficiency, traffic efficiency and traffic security becomes main direction of traffic administration.License Plate Recognition (LPS) is one of the critical techniques for the intelligent transportation system. The system can automatically register, verily. monitor vehicle or report to the police with automatic recognition for vehicle license plates. So it can be used in many kinds of occasions ,such as the charges system of expressway, monitoring system at road and roll-gate, charge and monitoring system at the district, parking area, guide system, the system counting the quantity of vehicle passing in a certain period time, etc..Based on image procession technology, computer vision technology and artificial neural network technology, the paper deeply researches and analyses an automobile license plate identification system. Chapter 1 gives a full introduction of the present situation of technologies in automatic number-plate recognition all around the world. It analyzes that the development tendency of technologies of automatic number-plate recognition on the basis of discussing the specialization of automatic number-plate recognition in our country. In chapter 2, there are some brief introduces of software design and hardware design of an automobile license plate identification system. Chapter 3 discusses some basic principles of image segmentation. Chapter 4 introduces some characteristic extracting methods of character recognition, analyzes the structure of the neural network with relevant theories and emphatically discusses the theory principle of the neuralnetwork and the application method in character recognition with it. Based on the theories of the first two chapters, chapter 5 introduces the theoretical foundation and method of the software design of the license plate recognition system in detail. In this system, a license plate is fixed in a position and cut apart by verge examination based on the differential operator and threshold algorithm. Then outline method and projection method are used as methods of characteristic extracting, lastly neural network is used as a method to recognition the single character.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.