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License plate location method based on texture and color

机译:基于纹理和颜色的车牌定位方法

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摘要

License plate location (LPL) from moving vehicle images is a key step in license plate recognition (LPR) system. A novel LPL algorithm is proposed in this paper to jointly consider color and texture distribution features of license plate area (LPA) in an image. The method is divided into two steps of detecting vehicles through background subtraction method and locating LPA by combining texture features and color features respectively. Experimental results show that this method can efficiently overcome the limitation of vehicles with complicated background, and can consequently achieve high detection rate in complex situations.
机译:来自移动车辆图像的车牌位置(LPL)是车牌识别(LPR)系统中的关键步骤。提出了一种新颖的LPL算法,以综合考虑图像中车牌区域(LPA)的颜色和纹理分布特征。该方法分为通过背景减法检测车辆和分别结合纹理特征和颜色特征进行LPA定位的两个步骤。实验结果表明,该方法可以有效克服背景复杂的车辆的局限性,在复杂情况下具有较高的检测率。

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