Automatic license plate recognition system based on color image processing

Authors:
Xifan Shi;Weizhong Zhao;Yonghang Shen
Affiliations:
College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China;Department of Physics, College of Science, Zhejiang University, Hangzhou, Zhejiang, China;Department of Physics, College of Science, Zhejiang University, Hangzhou, Zhejiang, China
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Year:
2005

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Abstract

A License plate recognition (LPR) system can be divided into the following steps: preprocessing, plate region extraction, plate region thresholding, character segmentation, character recognition and post-processing. For step 2, a combination of color and shape information of plate is used and a satisfactory extraction result is achieved. For step 3, first channel is selected, then threshold is computed and finally the region is thresholded. For step 4, the character is segmented along vertical, horizontal direction and some tentative optimizations are applied. For step 5, minimum Euclidean distance based template matching is used. And for those confusing characters such as '8' & 'B' and '0' & 'D', a special processing is necessary. And for the final step, validity is checked by machine and manual. The experiment performed by program based on aforementioned algorithms indicates that our LPR system based on color image processing is quite quick and accurate.