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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A CHINESE-CHARACTER THINNING ALGORITHM BASED ON GLOBAL FEATURES AND CONTOUR INFORMATION
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A CHINESE-CHARACTER THINNING ALGORITHM BASED ON GLOBAL FEATURES AND CONTOUR INFORMATION

机译:基于全球特征和轮廓信息的汉字稀疏算法

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摘要

This paper proposes a method of using run-length coding to perform thinning. First, we construct graphs from characters. The attributes (vertical lines, horizontal lines or points) of each node in the graph are determined according to the node's relationship to the nodes above and below it (we will refer to these relationships as global features) and the black runs within the node. Intersections between two adjacent segments are determined on the basis of the graph constructed and contour information. The thinning algorithm thus employs global features and contour information to produce a more accurate skeleton. [References: 12]
机译:本文提出了一种使用游程长度编码来进行细化的方法。首先,我们从字符构造图。图形中每个节点的属性(垂直线,水平线或点)是根据该节点与其上方和下方节点之间的关系确定的(我们将这些关系称为全局特征),黑色在节点内运行。根据构造的图形和轮廓信息确定两个相邻线段之间的交点。因此,稀疏算法使用全局特征和轮廓信息来生成更准确的骨架。 [参考:12]

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