A Morphological-Based License Plate Location
A Morphological-Based License Plate Location
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DOI：
10.1109/icip.2007.4378890
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发表时间：
2007-11
期刊：
影响因子：
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通讯作者：
Farhad Faradji;A. Rezaie;M. Ziaratban
中科院分区：
文献类型：
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作者：
Farhad Faradji;A. Rezaie;M. Ziaratban
车牌定位是智能交通系统中车牌识别的一个重要环节。提出了一种鲁棒性强、真实的实时车牌定位方法。该算法由几个阶段组成。在第一阶段，我们使用Sobel掩模提取输入图像的垂直边缘。在下一阶段，直方图分析用于寻找车牌的候选区域。候选区域也通过定义的紧凑因子进行验证。在最后一个阶段，我们使用一些形态学算子来精确定位车牌。对该算法进行了实验研究。使用了400幅不同场景的图像，包括不同角度，不同光照条件。该算法能够快速准确地检测出车牌区域。车牌检测成功率为83.50%。
License plate location is an important phase in vehicle license plate recognition for intelligent transport systems. This paper presents a robust and real time method of license plate location. The proposed algorithm consists of some stages. In the first stage, we extract vertical edges of the input image using Sobel mask. In the next stage, histogram analysis is used for finding the candidate regions of license plate. Candidate regions are also verified by defined compact factor. In the last stage, we locate the license plate exactly with some morphological operators. Experiments have been conducted for this algorithm. 400 images taken from various scenes were employed, including diverse angles, different lightening conditions. The algorithm can quickly and correctly detect the region of license plate. The license plate detecting rate of success is 83.50%.