Real-time license plate detection under various conditions

Huaifeng Zhang, Wenjing Jia, Xiangjian He, Qiang Wu

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

15 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - Third International Conference, UIC 2006, Proceedings
PublisherSpringer Verlag
Number of pages8
ISBN (Print)3540380914, 9783540380917
Publication statusPublished - 2006
Externally publishedYes
Event3rd International Conference on Ubiquitous Intelligence and Computing, UIC 2006 - Wuhan, China
Duration: 3 Sept 20066 Sept 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4159 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Ubiquitous Intelligence and Computing, UIC 2006

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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