Abstract
In this paper, a novel license plate location algorithm for color image is presented. Firstly the neural networks are used as filters for analyzing within small windows for an image and deciding whether each window contains a license plate or not coarsely. And then we use the information which the license plate’s saturation value is different from the background’s, so it can be used to locate license plate finely. At last, color pairs method is presented to prove whether the region we found is the license plate region or not. The experimental results show that proposed algorithms are robust in dealing with the license plate location in complex background.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lu, Y., Yu, L., Kong, J., Tang, C. (2005). A Novel License Plate Location Method Based on Neural Network and Saturation Information. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_136
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DOI: https://doi.org/10.1007/11589990_136
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30462-3
Online ISBN: 978-3-540-31652-7
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