License Plate Recognition(LPR) involves techniques such as digital image processing, computer vision, pattern recognition and artificial intelligence etc. LPR plays an important role in Intelligent Transportation Systems(ITS), and it can be applied in Intelligent Vehicle Security Inspection System.LPR consists of four modules in general, those are: image preprocessing;license plate locating, character segmentation and character recognition. Focus on difficulties of LPR,the paper studies the key technologies of it, and finally settles down a series of effective algorithms used in LPR based on experimental results. At first the paper analyses status and development trend of LPR, and introduces the knowledge of digital image processing. Then this paper presents a new method of license plate locating based on the combination of canny edge detection and scanning lines. One of several commonly methods used in the character segmentation is chose to segment the license plates, which can effectively separates the region of characters. Unsharp mask and improved template matching are applied to character recognition, which enhance the effective information of image and rate of character recognition, achieved very good results. Finally this paper study application of LPR used in Intelligent Vehicle Security Inspection System, given the system architecture and key technologies.The content studied in this paper is proved effective, and actual program of LPR applied in Intelligent Vehicle Security Inspection System is given in this paper, which shows a good theoretical and practical significance. |