会议专题

License Plate Location Algorithm in Complez Scene

A novel license plate positioning algorithm is proposed in this paper. The algorithm is composed of two parts, which are candidate region position and pseudo-region elimination. First the texture features are used to find candidate plates areas. Then a sliding strip window, which scans image from top to bottom, is used to select connectivity regions in the binary image of the candidate area. And pseudo-plate regions are removed from the candidate plates by using plate syntactic features. License plates in complex scene and fuzzy image both can be solved effectively. Moreover, the proposed algorithm can provide priori knowledge for next segmentation and recognition process. Experimental results show that the location method is fast and has high accuracy and strong anti-interference ability for the complex scenes and the fuzzy image particularly.

license plate position pseudo-region connectivity block plate syntaz complez scene

WU Cheng-dong WANG Li ZHANG Yun-zhou CHU Hao

College of Information Science & Engineering, Northeastern University, Liaoning, Shenyang, China 110004

国际会议

2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

广西桂林

英文

4417-4420

2009-06-17(万方平台首次上网日期,不代表论文的发表时间)