Based On Neural Network License Plate Image Recognition System

The rapid growth with the number of cars,how to solve the problem of heavy traffic has become the most difficult problems in the traffic management Intelligent transportation systems become an effective way to solve the traffic problems License plate recognition system is the important application of intelligent transportation system used in intelligent community management Electronic police and the parking lot management,etc.,have a high social value.Traditional license plate recognition system in the core technology of character recognition part,USES the more is the template matching method and BP neural network,which can identify the research results show that template matching of letters and Numbers recognition rate is not high,a high recognition rate of man;Neural networks have high recognition rates for letters and Numbers.Therefore,this paper proposes a license plate recognition system based on neural network,and combines template matching method to identify hanzi,which greatly improves the accuracy of license plate recognition.The paper includes five modules: license plate location,tilt correction,character segmentation,character recognition and GUI interface design.License plate positioning module based on color edge detection positioning method,the use of color jump point to determine the license plate area.The tilt correction module selects the Radon transform to correct the tilting license plate.The character segmentation module divides the character by looking for the maximum spacing of the license plate according to the spacing between the second character of the license plate and the third character,which is the maximum spacing among all license plate characters.In the process of segmentation,if the width of a character in the last 5 characters is too small,it can be determined that the character is '1'.The character recognition module is a combination of template matching and BP neural network two character recognition methods.The template matching party is used to identify Chinese characters.Multiple BP neural networks cooperate with each other to identify letters and digital characters.GUI interface design module is the design of the license plate recognition system for interface design.The design of the license plate image recognition system with 60 car photos to test,successfully identify the 56 car license plate number.The test results show that the design of the license plate image recognition system can accurately identify most of the license plate number.