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Proceedings Paper

License plate detection algorithm
Author(s): Michael Broitman; Yuri Klopovsky; Normunds Silinskis
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Paper Abstract

A novel algorithm for vehicle license plates localization is proposed. The algorithm is based on pixel intensity transition gradient analysis. Near to 2500 natural-scene gray-level vehicle images of different backgrounds and ambient illumination was tested. The best set of algorithm’s parameters produces detection rate up to 0.94. Taking into account abnormal camera location during our tests and therefore geometrical distortion and troubles from trees this result could be considered as passable. Correlation between source data, such as license Plate dimensions and texture, cameras location and others, and parameters of algorithm were also defined.

Paper Details

Date Published: 24 December 2013
PDF: 5 pages
Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90670Z (24 December 2013); doi: 10.1117/12.2051027
Show Author Affiliations
Michael Broitman, Institute of Electronics and Computer Science (Latvia)
Yuri Klopovsky, Institute of Electronics and Computer Science (Latvia)
Normunds Silinskis, Institute of Electronics and Computer Science (Latvia)


Published in SPIE Proceedings Vol. 9067:
Sixth International Conference on Machine Vision (ICMV 2013)
Branislav Vuksanovic; Antanas Verikas; Jianhong Zhou, Editor(s)

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