A novel approach for segmentation of touching characters on the license plate

Ran Wang; Guoyou Wang; Jianguo Liu; Jiangmin Tian

doi:10.1117/12.2011233

20 March 2013 A novel approach for segmentation of touching characters on the license plate

Ran Wang, Guoyou Wang, Jianguo Liu, Jiangmin Tian

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876847 (2013) https://doi.org/10.1117/12.2011233
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

In this paper, a novel algorithm is proposed for segmentation of touching characters on the license plate. In our method, rough and precise segmentation of characters proceeds in sequence. At first, characters on the license plate are roughly classified as segmented and touching characters by vertical projection on the edge map. Next, segmentation points of touching characters are evaluated using fixed ratio relations of width, interval and height of characters. Finally, the touching characters are segmented by a path created by A* pathfinding algorithm. The proposed method is tested on 238 license plate images and the successful segmentation rate of 97.06% is achieved with only 62ms. And the experiment result demonstrates the effectiveness and efficient of our suggestion.

Citation Download Citation

Ran Wang, Guoyou Wang, Jianguo Liu, and Jiangmin Tian "A novel approach for segmentation of touching characters on the license plate", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876847 (20 March 2013); https://doi.org/10.1117/12.2011233

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