Review

Traffic security and its management controls and supervised the number of vehicles. The traffic management system broadly used license plate recognition for them whose owner has dumped the traffic laws or to find the stolen vehicles. In most of the traffic related application like stolen vehicles, road traffic monitoring airport gate monitoring, speed monitoring, and automatic parking lots access control, for all this purpose the key technique are used which are vehicle license plate detection and recognition. It is basically the skill of automatically extract and recognition of the vehicle license number plate character from the captured image. The method of number plate recognition faces the problem of feature selection process. The present methods of number plate recognition system only focus on the local, global and neural network process of feature extraction and process of detection. The detection ratio of number plate recognition was improved by the optimized feature selection process. Here in this paper novel method for license plate recognition is proposed, which is based on wavelet transform function as well as comparing the proposed methodology with correlation based method for the detection of number plate. Index Terms: Feature selection, RBF Neural Network, vehicle license plate detection, wavelet transforms. 1