Volume 9 Number 9 (Sep. 2014)
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JSW 2014 Vol.9(9): 2353-2360
doi: 10.4304/jsw.9.9.2353-2360

Multi-features-based License Plate Detection in Nighttime Environment

Jia Li

  • Computer School, China West Normal University, Nan Chong, Sichuan, 637009, P.R China

Abstract

We propose a novel method for license plate detection in nighttime videos with complicated background scenes. The proposed method use multi-features-based combination way in the residual edge image. Our work firstly is color space conversion from RGB to La*b* color space and get enhancement L component of license plate image, then extract out multi-features of license plate, thirdly, multi-features combination method is used to get license plate detection, finally, search the license plate localization and segment the characters from the original nighttime environment images by using nonlinear vector quantization method. The experimental results show that the proposed method has more robust to interference characters and more accurate when compared with other methods.

Keywords

  • license plate detection
  • multi-features
jsw0909-17

How to Cite

Copied

Jia Li, "Multi-features-based License Plate Detection in Nighttime Environment," Journal of Software, vol. 9, no. 9, pp. 2353-2360, 2014. https://doi.org/ 10.4304/jsw.9.9.2353-2360

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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