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A new method of vehicle license plate location under complex scenes

机译:复杂场景下车辆牌照定位的新方法

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Vehicle license plate location is an important part of a license plate recognition system. This paper proposed a new location method for plate under complex scenes based on horizontal gradient and morphological operation. Firstly, borizontal gradient image was obtained by horizontal difference on the grayscale image. Secondly, an adaptive thresbold proposed in this paper was used to segment the gradient image. Then, the candidate vehicle license plates were detected by morphological and region operations. Finally, the result of the license plate location was decided by candidate plates searching according to the features of the plate region The experiments on 191 vehicle images that were taken under different illumination, weather and distance conditions show that the efficiency of the proposed algorithm is 96.34%.
机译:车辆牌照的位置是牌照识别系统的重要组成部分。提出了一种基于水平梯度和形态学运算的复杂场景下板块定位方法。首先,通过在灰度图像上的水平差来获得水准梯度图像。其次,将本文提出的自适应阈值分割算法用于梯度图像的分割。然后,通过形态和区域操作检测候选车辆牌照。最后,根据车牌区域的特征,通过候选车牌搜索确定车牌位置的结果。在不同光照,天气和距离条件下拍摄的191张车辆图像的实验表明,该算法的效率为96.34。 %。

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