Currently, the problems of low accuracy and slow speed in the LPR (license plate recognition) of motor vehicle still exist, while the problem is mainly due to complex interference caused by the surrounding environment. As the collection plate is usually located on the lower portion of the image, this system firstly cut the image from the position of 1 / 2 to obtain the lower part that can effectively reduce the interference information. Then, we orientate license plate accurately through Canny operator edge detection[1] and the geometric ratio features of license plate[6]. Combining these two methods can further remove the interference factors, and ultimately obtain accurate positioning. Finally, the experiment result has proved the method more reliable and faster.

Date Published: 19 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200Y (19 August 2010); doi: 10.1117/12.867581

Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)