Abstract
A novel license character recognition method based on the nearest feature line (NFL) classifier is presented in this paper. Based on ocular uniformity, we process our color clustering in Munsell color space using the concepts of NBS distance. Then, with different structure elements, we take a series of operations to the image that had been processed by color clustering method before, after the location of the plate be found accurately, we propose a fast algorithm based on the NFL method to improve the performance of the recognition system by using a lot of virtual data generated by the feature line. Experiment result shows that the result of the method is efficient and gratifying.
Xialai Wu is a lecturer of the Department of Automation, Lishui University, CO 323000, P.R.China. His research interest covers image processing.
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Xie, J., Zhou, H., Wu, X., Zhou, Y. (2015). A Method of License Character Recognition Based on Fast Nearest Feature Line. In: Pan, Z., Cheok, A., Mueller, W., Zhang, M. (eds) Transactions on Edutainment XI. Lecture Notes in Computer Science(), vol 8971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48247-6_5
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DOI: https://doi.org/10.1007/978-3-662-48247-6_5
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