车牌监控系统采用加权模板匹配

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI:10.1109/AIPR.2003.1284283

Mi-Ae Ko, Young-Mo Kim

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引用次数: 35

摘要

提出了一种简单、鲁棒的车牌识别算法。该算法基于模板匹配，可用于车辆监控系统中车牌的实时识别。工作原理是基于权重特征的分层模板评价。在实际交通条件下获取的图像上对该系统的性能进行了评价。

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License plate surveillance system using weighted template matching

This paper presents a simple and robust algorithm for vehicle's license plate recognition system. Based on template matching, this algorithm can be applied for real time recognition of license plates for vehicle surveillance system. The working principle is weight feature based hierarchical template evaluation. The performance of the proposed system has been evaluated on images acquired in real traffic conditions.

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来源期刊

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.

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