A new algorithm for license plate localization in open environment using color pair and stroke width features of character

Jiangmin Tian; Ran Wang; Guoyou Wang; Fangbin Yang

doi:10.1117/12.2031131

26 October 2013 A new algorithm for license plate localization in open environment using color pair and stroke width features of character

Jiangmin Tian, Ran Wang, Guoyou Wang, Fangbin Yang

Author Affiliations +

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 892117 (2013) https://doi.org/10.1117/12.2031131
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

License plate localization (LPL) in open environment is quite challenging due to plate variations and environment variations. In this paper a new algorithm for license plate localization based on color pair and stroke width features of character is proposed. Four steps are mainly concerned in our algorithm. The image is first preprocessed by canny edge detector and color pair feature is extracted. And then edge pixels are clustered into several groups using by EM-based method. Further more, stroke width feature of edge pixels in each group are extracted to remove false groups and background outliers. Finally, LP candidates can be formed by morphological operation and prior knowledge of LP is used for verification and accurate location. We use a standard dataset including natural scene images with background noise, various observation views, changing illumination and various plate sizes for testing. The results show that the proposed algorithm achieves accuracy over 90% on localizing license plate and the processing time is 250ms in average for one image with size of 640*480.

Citation Download Citation

Jiangmin Tian, Ran Wang, Guoyou Wang, and Fangbin Yang "A new algorithm for license plate localization in open environment using color pair and stroke width features of character", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 892117 (26 October 2013); https://doi.org/10.1117/12.2031131

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