License Plate Recognition Using Topology Structure Features
License plate recognition (LPR) has been widely used for intelligent transportation systems. In this paper, we present a novel license plate recognition method using characters topology structure and feature-weighted template matching. As the topology skeleton feature is the most radical and intrinsic characteristics, our proposed algorithm is robust against license tilt and noise influence. First, detect license and correct skew using edge detection and Hough transformation. Then in the recognition step, segment characters using connected component detection method. We use improved template matching method to emphasize the importance of skeleton and contour. Our novel thinning algorithm extracts the topology features of characters effectively. Experiments show our proposed approach can achieve high recognition rate, and is robust against interference.
License Plate Recognition Optical Character Recognition template matching feature weight topology structure diameter skeleton
Lu Liu Hongjiang Yu Kche Cai Jia Wang
School of Computer Wuhan University Wuhan, China Electronic Information School Wuhan University Wuhan, China Information Science School Beijing Language & Culture University Beijing, China
国际会议
武汉
英文
251-254
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）