基于局部结构模式的车牌检测

Younghyun Lee, Taeyup Song, Bonhwa Ku, Seoungseon Jeon, D. Han, Hanseok Ko
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引用次数: 31

摘要

本文讨论了视频监控系统中车牌检测的问题。基于Adaboost的方法以相对容易实现而闻名,它利用了边缘或haar样特征等判别性特征。本文提出了一种基于局部结构模式的车牌检测算法。该算法包括利用车牌的位置信息和颜色信息来降低误报率的后处理方法。实验结果验证了该方法的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
License Plate Detection Using Local Structure Patterns
We address the problem of license plate detection invideo surveillance systems. The Adaboost based approach,known for relative ease of implementation, makes use ofdiscriminative features such as edges or Haar-like features.In this paper, we propose a novel detection algorithm basedon local structure patterns for license plate detection. Theproposed algorithm includes post-processing methods toreduce false positive rate using positional and colorinformation of license plates. Experimental resultsdemonstrate effectiveness of the proposed methodcompared
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