License Plate Recognition System

Meitong Chen

College of Higher Vocational Technology, Dalian Neusoft University of Information, Dalian, 116023, China

Abstract: --Vehicle license plate recognition (LPR) technique plays an important role in automated systems for real time traffic management and surveillance. A number of approaches have been proposed for this intelligent transportation systems including road traffic monitoring, parking lots access control, and automated payment on high ways. In this paper, the capability of California license plate recognition is improved by integrating a variety of methods, and the problems such as locating the license, segmenting license plate characters and recognizing characters are resolved. Through a number of license plate image processing, the results show that the license plate recognition method based on Matlab is successful and efficient. The main approach used in the paper is color clustering and neural network, and the accuracy is high up to 92.5%.

Keywords: License plate recognition; Color clustering; K-means; Artificial neural network