Abstract
This paper presents a new method of license plate location under complex background. The texture direction map was obtained by gradient direction field and the calculation of the original image. License plate candidate area is determined using the method of interval judgment edge information through texture direction and binary image. Finally, the plates are accurately positioned using the improved regional notation. This experiments results demonstrate the great robustness and efficiency of our method.
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Shuang, M.A., Jiangning, C.H.E.N., Hu, L.U., et al.: Approach for license plate location using edge features filter and multi-decision mechanism. Computer Engineering and Applications 50(9), 145–149 (2014)
Lian, N., Xu, Y.: License plate location method based on mathematical morphology and color features. Journal of Graphics (5), 774−779 (2014)
Wang, F., Man, L., Wang, B., Xiao, Y., Pan, W., Xiaochun, L.: Fuzzy-based algorithm for color recognition of license plates. Pattern Recognition Letters 29, 1007–1020 (2008)
Zheng, D., Zhao, Y., Wang, J.: An efficient method of license plate location. Pattern Recognition Letters 26, 2431–2438 (2005)
Jiao, J., Ye, Q., Huang, Q.: A configurable method for multi-style license plate recognition. Pattern Recognition 42, 358–369 (2009)
Rao, A.R.: A Taxonomy for Texture Description and Identification. Springer, New York (1990)
Shen, J., Castan, S.: An Optimal Linear Operator for Step Edge Detection. CVGIP: Graphical Model and Image Processing (54), 121−124 (1992)
Lindeberg, T.: Scale-sace Theory in Computer Vision. Kluwer Academic Publishers, Boston (1994)
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© 2015 Springer-Verlag Berlin Heidelberg
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Feng, F., Wang, L. (2015). Approach for License Plate Location Using Texture Direction and Edge Feature. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_10
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DOI: https://doi.org/10.1007/978-3-662-47791-5_10
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-662-47791-5
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