Real-Time license plate detection under various conditions

Authors:
Huaifeng Zhang;Wenjing Jia;Xiangjian He;Qiang Wu
Affiliations:
Computer Vision Research Group, University of Technology, Sydney, Australia;Computer Vision Research Group, University of Technology, Sydney, Australia;Computer Vision Research Group, University of Technology, Sydney, Australia;Computer Vision Research Group, University of Technology, Sydney, Australia
Venue:
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Year:
2006

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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.