Image Processing Based On Pattern Recognition And Its Application To License Plate Recognition

Image processing based on pattern recognition is one of the most important research directions in the image recognition field. License plate Recognition based on image is an important application in computer vision and pattern recognition of the intelligent transportation field. And it is also the core technology in the intelligent transportation system.The main content of this paper is the study on image processing based on pattern recognition and its application in license plate recognition system. In this article, pattern recognition is used as theory foundation and image process technology as basic technology. Combining with the new theory tools (wavelet analysis and neural network), this paper presents effective resolve methods to three parts of image recognition (image segmentation, image feature extraction and image classificaton) thought systemic analysis of it.In this article ,the research of image process based on pattern recognition consists of three phases :1) Phase of image segmentation: a method of multi-layer and multi-character's segmentation in transform field based on knowledge is proposed. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out[71].2) Phase of image feature extraction: combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented[74J.3) Phase of image classificaton [73]: after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine's model, and makes a primary research of basic structure and design method, then makes research of the multi-character method.The image process method of this paper has some reference value in other image process fields.