首页> 外文会议>2012 IEEE International Conference on Computational Intelligence amp; Computing Research >A rank filter method for localizing non-uniform, 2-column Indian license plate with unequal plate and character dimensions
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A rank filter method for localizing non-uniform, 2-column Indian license plate with unequal plate and character dimensions

机译:用于定位具有不相等的车牌和字符尺寸的非均匀2列印度车牌的秩过滤方法

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The first and the most important stage for any ALPR system is the correct localization of the license plate within the image captured by the LPR camera. Most of the varieties of techniques reported for localization of license plate are applicable for a very controlled environment. This work focuses on localizing the license plate regions from true color still snapshots captured in a very realistic situation. The technique is based on a novel multi-stage approach for analysis of vertical edge gradients from contrast stretched gray-scale images. Horizontally and vertically oriented rank filters are used to detect clusters of high density of bright edges in the area of the number plate. The proposed approach embeds multi resolution and multi scale edge detection, adaptive searching, color analysis, and affine rectification in a hierarchical frame work for sign detection, with different emphasis at each phase to handle the text in different sizes, orientations, color distributions and backgrounds.
机译:对于任何ALPR系统而言,第一个也是最重要的阶段是在LPR摄像机捕获的图像中正确定位车牌。报告的用于车牌本地化的大多数技术都适用于非常受控的环境。这项工作的重点是根据在非常现实的情况下捕获的真实彩色静态快照对车牌区域进行定位。该技术基于一种新颖的多阶段方法,可从对比度拉伸的灰度图像中分析垂直边缘梯度。水平和垂直方向的秩过滤器用于检测车牌区域内高密度亮边缘的簇。所提出的方法将多分辨率和多尺度边缘检测,自适应搜索,颜色分析和仿射校正嵌入到用于符号检测的分层框架中,并在每个阶段都以不同的重点来处理不同大小,方向,颜色分布和背景的文本。

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