Vehicle Number Plate Fuzzy Pattern Recognition System

The objective of automatic vehicle number plate recognition system is to accurately extract and recognize the vehicle number plate from the complicated background. In this paper, we introduce functions of number plate extracting, number plate pre-processing, character extracting and character recognition etc.In this paper, in the first place a fuzzy integral theory is used to extract the vehicle licence, then pre-processing is carry out, and finally character is resumed by autoassociative memory. In this paper, we introduce fuzzy entropy for character distill and using fuzzy entropy as index of character for contribution of classification. First stage of recognition of letter and digit character recognition, we carry out the classification of them by the support vector machine theory, second stage, we respectively set up recognition model of every species. We present the method of Chinese characters recognition based on fuzzy neural network. At the same time, we proposed using genetic algorithm optimize membership function and parameters of network for solving a disadvantage that the steepest descent easily get into local minimum, that made system has a good stability and accuracy.The results of test show that the recognition rate of letter and digit character is approximate to 96% and the recognition rate of Chinese letter is approximate to 95%.