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Real-Time License Plate Detection Under Various Conditions

  • Huaifeng Zhang
  • Wenjing Jia
  • Xiangjian He
  • Qiang Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4159)

Abstract

This paper proposes an algorithm for real-time license plate detection. In this algorithm, the relatively easy car plate features are adopted including the simple statistical feature and Harr-like feature. The simplicity of the object features used is very helpful to real-time processing. The classifiers based on statistical features decrease the complexity of the system. They are followed by the classifiers based on Haar-like features, which makes the final classifier invariant to the brightness, color, size and position of license plates. The experimental results obtained by the proposed algorithm exhibit the encouraging performance.

Keywords

License Plate Weak Classifier AdaBoost Algorithm Cascade Classifier License Plate Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Huaifeng Zhang
    • 1
  • Wenjing Jia
    • 1
  • Xiangjian He
    • 1
  • Qiang Wu
    • 1
  1. 1.Computer Vision Research GroupUniversity of TechnologySydneyAustralia

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