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A novel car plate verification with adaptive binarization method

  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel candidate verification algorithm for plate license localization is proposed in this paper. In the new method, auto-correlation curve, projection properties and character position features based on candidate binary image are combined together to verify the candidates. To improve the performance of verification, Otsu's method, Bersen method and Niblack method with post process are adaptive chosen to binarize images in different illumination. Experimental results show the efficiency of proposed method.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
PublisherIEEE Computer Society
Pages4034-4039
Number of pages6
ISBN (Print)9781424420964
DOIs
Publication statusPublished - 2008
Event7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 - Kunming, China
Duration: 12 Jul 200815 Jul 2008

Publication series

NameProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Volume7

Conference

Conference7th International Conference on Machine Learning and Cybernetics, ICMLC 2008
Country/TerritoryChina
CityKunming
Period12/07/0815/07/08

Keywords

  • Auto-correlation
  • Candidate verification
  • Image binarization
  • License plate extraction
  • Projection

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