Car License Plate Location Based on Mathematical Morphology

  • Hongping Hu
  • Zheng Zhang
  • Yanping Bai
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 128)

Abstract

The car license location is the foundation of the whole car plate recognition system, whose efficiency will directly affect the veracity of license recognition.

In this paper, the car license location is adopted on the base of mathematical morphology. Turn the inputted color car license image into gray image and detect the edge by using the Roberts operator. Eliminate the noise in the obtained binary image by using the erosion operation, and then the close operation of the mathematical morphology is used. Some connecting areas are formed. According to the area preparations and the marked connected regions, the license plate location are obtained. The results show that the method is simple, the location accuracy rate is higher, and it can meet certain real-time requirements.

Keywords

Mathematical Morphology Connected Region License Plate Gray Image Close Operation 
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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References

  1. 1.
    Jia, W., Zhang, H., He, X.: Region-based license plate detection. Journal of Network and Computer Applications 30, 1324–1333 (2007)CrossRefGoogle Scholar
  2. 2.
    Wang, W., Ma, Q., Du, P.: Based on Edge Detection and Mathematical Morphology of License Plate Location. Journal of South Central University for Nationalities 27(4), 83–87 (2008) (in Chinese) Google Scholar
  3. 3.
    Lu, J.-H.: License Plate Localization Algorithm Based on Mathematical Morphology and Line Scanning. Computer Era 11, 51–54 (2009) (in Chinese) Google Scholar
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    Liang, D., Gao, J., Cao, W., Fu, Q., Zhao, J.: The location algorithm of the inclined license plates based on mathematical morphology and orientation field. Chinese Journal of Electronics 12(2), 163–166 (2003)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Hongping Hu
    • 1
  • Zheng Zhang
    • 1
  • Yanping Bai
    • 1
  1. 1.School of ScienceNorth University of ChinaTaiyuanChina

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