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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Real-Time License Plate Detection Under Various Conditions
verfasst von : Huaifeng Zhang, Wenjing Jia, Xiangjian He, Qiang Wu
Erschienen in: Ubiquitous Intelligence and Computing
Verlag: Springer Berlin Heidelberg
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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.