Research On The Video Image Of The License Plate Recognition Technology

The license plate recognition system based on image processing and pattern recognition is the intelligent traffic management in one of the important research topics. It uses computer image processing, pattern recognition and artificial intelligence technology to process,analyze and identify the video traffic image.and then to extract license plate information. It provides the basis for traffic management, fees, scheduling, statistics. It is widely used. In a nutshell, license plate recognition system can look at several aspects of the application:①vehicle charging management;②ravel time measurement;③public car park security management;④airports,ports and other import and export traffic management;⑤crossing checkpoints vehicle monitoring;⑤community transport management;⑦running red lights and other vehicle violation monitoring;⑧the detection of traffic flow;⑨traffic control and guidance;⑩the identification of stolen vehicles and special vehicles.This paper studies the license plate recognition and analyzes the key technologies of the typical recognition algorithm in recent years,finally a series of effective algorithm is found to determine the identification plate. License plate recognition system is divided into plate location, license plate character segmentation and character recognition of three parts.Its research involves digital image processing, pattern recognition, computer vision, artificial intelligence and artificial neural networks and many other subject areas. In the plate positioning,this paper introduces the pretreatment before the license plate location,including graying, binarization, edge detection and filtering processing of images. Such treatment can improve the image quality and highlight the license plate information.All of these are conducive to the positioning plate. Then this paper introduces some commonly used positioning method and analyzes them. Finally, the improved positioning projection of the plate is used. In the character segmentation areas, this paper introduces the binary license plates, geometric correction algorithms and analyzes the current commonly used methods of character segmentation of license plate.Finally the vertical projection of the character segmentation method is used. Achieved very good results. In the character recognition area,the paper introduced the normal methods of character recognition.Based on BP neural network character recognition method, a modified BP neural network character recognition is used. Experimental results show, the proposed method is reasonable and has strong theoretical guidance and practical value.