Design And Implementation Of Automatic Recognition System Based On Wavelet Analysis Models

In recent years, due to the rapid development of economic construction in our country, the highway construction and has a larger increase in the number of private cars, especially the number of private cars has increased faster, the vehicle detection and fee has seriously hinder the development of traffic. Therefore, only through the intelligent transportation system to realize the scientific management of the traffic and can effectively and make full use of transportation resources, is to solve the traffic problems in an effective technical means. Vehicle recognition is the key technology of intelligent transportation research. The traditional time-domain analysis of vehicle recognition method, misjudgment YanXiaoBo analysis will fundamentally solve this problem.Developed in this paper, the vehicle recognition system based on wavelet, analyses the system hardware and software design principle and realization method, realized the application of the wavelet technology for vehicle image contour extraction, model database and the function of vehicle recognition. This article research mainly from the model is used to identify the model of the contour feature, Image based on wavelet extraction compared with other technology, its main advantage in two aspects:on the one hand is to be able to obtain high quality car shape contour image information, to ensure the vehicle recognition accuracy is above 99%; On the other hand is a faster recognition speed and ensure the vehicle image real-time processing for sports.In this paper, the research on the realization of the intelligent transportation, vehicle parking charge system, not in violation of the vehicle track, vehicle overload limit and management, and avoid major traffic accidents and reduce the economic loss is of great significance.