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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >RELIABLE LICENSE PLATE RECOGNITION SYSTEM BASED ON ADAPTIVE NON-PLATE FILTRATION METHODS
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RELIABLE LICENSE PLATE RECOGNITION SYSTEM BASED ON ADAPTIVE NON-PLATE FILTRATION METHODS

机译：基于自适应非平板滤波方法的可靠许可平板识别系统

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This paper proposes a technique to filter out the false negative detection of license plate caused by using edge algorithm to specifying the targeting areas. The proposed technique implements filters bases on the histogram value for the three main channels of the image (RGB). The paper consists of the following three main stages: (a) Detection based on edge detecting method, (b) calculating the histogram values of RGB color model, and (c) finally, verifying and detecting valid license plate regions by applying different histogram- based rules on features extracted out from the calculated histogram values. Experimental results show that the proposed method is very effective in assisting to neglect many noises caused by different conditions such as poor illumination and varied weather.
机译：提出了一种利用边缘算法指定目标区域来过滤车牌的假阴性检测技术。所提出的技术基于图像（RGB）的三个主要通道的直方图值实现滤波器。本文包括以下三个主要阶段：（a）基于边缘检测方法的检测，（b）计算RGB颜色模型的直方图值，以及（c）最后，通过应用不同的直方图来验证和检测有效车牌区域-基于从计算的直方图值中提取的特征的规则。实验结果表明，该方法可以有效地消除由于光照差，天气变化等不同条件引起的许多噪声。

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