Abstract
License plate recognition system is an important part of intelligent transportation system, while the vehicle license plate location is the key of it. In this paper, a new method of license plate (LP) positioning is proposed. In this method, firstly, the input image is preprocessed. Then, the texture and color features are used to remove most of disturbance. After that, the regions which have the structure and texture that is similar to the license plate are extracted. Finally, pseudo-region is eliminated and true LP is precisely located. The working principle is taking full advantages of plate texture, color characteristic and structure features to choose candidate regions. Experimental results illustrate that the method is robust and can increase the location accuracy distinctly.
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References
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Ye, F., Xie, M. (2012). An Efficient Method of License Plate Location Based on Structure Features. In: Zhu, M. (eds) Business, Economics, Financial Sciences, and Management. Advances in Intelligent and Soft Computing, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27966-9_81
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DOI: https://doi.org/10.1007/978-3-642-27966-9_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27965-2
Online ISBN: 978-3-642-27966-9
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