Vehicle License Plate Recognition System Based On Digital Image Procession

In order to realize the intelligent management of traffic for Beijing, VLPRS(Vehicle License Plate Recognition System) is an important technology innovation project developed by Beijing Public Security Traffic Management Bureau. This paper solves all the critical technology problems in the system and paves the way for the realization of VLPRS.This paper use techniques of linear windows, differential operator, min operator, Fuzzy-Mathematics and Mathematical Morphology to complete the precise Orientation of license plate, and use horizontal projection and local-least value techniques to complete the segmented of the characters, and the Artificial Neural Network technology is applied to complete the character recognition. The practical algorithm is designed. In the practical license recognition, it is fast and valid.All of the orientation algorithms which were common used deal with all the data in the image, but those can't meet the need of real-time in real-time traffic flow. This paper give a roughly orientation algorithm which sharply decrease operation time. In regard to the deformed character of the license plate and the varied illumination and strong noise disturbance conditions, this paper put forward a character recognition method based on the Artificial Neural Network which has many merits, such as highly anti-interference quality, highly recognition rate .This paper solve the recognition of license plate in real-time traffic flow successfully, the algorithm proposed is accurate and effective. At the end of the article, this paper introduces the recent advanced methods and the prospects of the following work.