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Title:	*Russian License Plate Segmentation Based On Dynamic Time Warping*
Authors:	Mikhail A. Povolotskiy, Elena G. Kuznetsova, Timur M. Khanipov
Published in:	(2017).ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN: 978-0-9932440-4-9/ ISBN: 978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23^rd – May 26^th, 2017
Citation format:	Mikhail A. Povolotskiy, Elena G. Kuznetsova, Timur M. Khanipov (2017). Russian License Plate Segmentation Based On Dynamic Time Warping, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0285
DOI:	https://doi.org/10.7148/2017-0285
Abstract:	We propose a fast plate segmentation algorithm for automatic license plate recognition systems which is stable to plate rectangle localization inaccuracies and image brightness distortions. The algorithm uses a priori information about the geometry of standard plate types and additionally makes adjustments to symbols positions through localization errors estimation and correction. We introduce a plate localization error model and compute its optimal parameters using dynamic programming. We also suggest a modification of the algorithm for simultaneous segmentation and optimal type selection (from a known set of types). Experimental results are presented which show the efficiency of this approach.
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