Research Of Car Plate Recognition

With the development of national economy, the amount kinds of vehicles have increased rapidly. Although makes in deed our life convenient, it cause a lot of traffic surveillance problems, Intelligent traffic surveillance (ITS) can improve the efficiency of the traffic surveillance, makes it scientificalness, standardization. License plate recognition (LPR) technique is the kernel of ITS. License plate recognition consists of three modules in general: plate location, character detection and character recognition. Two of the key indices of this kind of technique are the character recognition accuracy and speed.With application area of LPR enlarge, for example, nighttime LPR, free way LPR, there has a higher demands with the recognize speed and accuracy of LPR. So need to research how to raise the performance of LPR in real time condition.Because of the low-resolution rate of Chinese character recognition, we use Gabor transform to extract monochrome Chinese character features. Analyzed Gabor parameters and adopt some new parameter selection methods, solved low-resolution of Chinese character recognize.Because of the complex environment, the characters what we got are in a multiple cluster style in feature space, so we use multiple template to recognize Chinese characters. Defined new in cluster and between cluster distance, and new rule functions, experiments show multiple templates can efficiently improve the...