Research On The Main Technology Of A Vehicle License Plate System

With the increment of vehicle all over the world, the situation of city traffic is attracted the recognition of people. How to manage the traffic effectively has become the focus of governments and transportation sectors more and more. License Plate Recognition System is one of the important subjects for research on pattern recognition and computer vision technology in the field of intellectual traffic system, and it is also the important method to realize intelligent traffic administration, so it is important to do some research on it.This topic is a part of License Plate Recognition System, has established one completely the license plate character recognition system which realizes by the software.This system will input the car license color image through recognition processing, the string of character which the output might edit.After the related techniques in the world have been studied, corresponding algorithms have been proposed according to four key points in the license plate segmentation system. A binarization method of vertical projection combined with image morphology is brought forward. It overcome variables unfavorable factors, such as poor image quality etc, and get a good result in the end.Consider of both accuracy and efficiency, the thesis proposes a new tilt correction algorithm which improved the Shell weighting vertical projection. Compare with the pure projection, it is more efficient. It also overcome the influence of license plate's frame and solves the problem beautifully.According to projection method that is most famous, the thesis also proposes a novel character segmentation algorithm. It had been approved to get the correct result on blur sample, distorted image and the image with license plate's frame.In the end, a novel template matching algorithm has been proposed. The major improvement is the matching scheme. According to the segmented character images, after thinning processing, they're matching by groups approximately and then go to the process of careful comparation, and finally get the result. It is proved from simulation that the technology has improved the recognition rate to a certain extent.