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A Method of License Character Recognition Based on Fast Nearest Feature Line

  • Jianping Xie
  • Hongqiang Zhou
  • Xialai WuEmail author
  • Yi Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8971)

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.

Keywords

License character recognition Color clustering Mathematical morphology Nearest feature line 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Jianping Xie
    • 1
  • Hongqiang Zhou
    • 1
  • Xialai Wu
    • 1
    Email author
  • Yi Zhou
    • 1
  1. 1.School of EngineeringLishui UniversityLishuiPeople’s Republic of China

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