License plate detection algorithm

Michael Broitman; Yuri Klopovsky; Normunds Silinskis

doi:10.1117/12.2051027

24 December 2013 License plate detection algorithm

Michael Broitman, Yuri Klopovsky, Normunds Silinskis

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90670Z (2013) https://doi.org/10.1117/12.2051027
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

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.

Citation Download Citation

Michael Broitman, Yuri Klopovsky, and Normunds Silinskis "License plate detection algorithm", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90670Z (24 December 2013); https://doi.org/10.1117/12.2051027

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