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Vehicle License Plate Location Algorithm Based on Gray Level Variation and Color Features

机译:基于灰度变化和颜色特征的车辆牌照位置算法

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摘要

License plate recognition system is an important part of intelligent transportation system, while the vehicle license plate location is the key of it. In this paper, a new algorithm is proposed on the basis of gray level variation and color features to reduce the error location of the license plate. Experimental results illustrates that the algorithm is robust and can increase the location accuracy distinctly.
机译:车牌识别系统是智能交通系统的重要组成部分,而车辆车牌位置是它的钥匙。在本文中,基于灰度变化和颜色特征提出了一种新的算法,以减少车牌的错误位置。实验结果表明该算法具有稳健性,并且可以显着提高位置精度。

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