A retrieval method of ancient Chinese character images based on neighbor clustering

被引：0
|
作者：
Jiang, Li [1 ]
Yang, Fang [1 ]
Miao, Xiufen [1 ]
Ha, Yan [1 ]
Tian, Xuedong [1 ]
机构：
[1] HeBei Univ, Coll Math & Comp, Baoding, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4 | 2012年
关键词：
ancient Chinese characters; image clustering; coarse periphery features; second coarse periphery features; directional line elements;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Character image clustering is an assistant way of studying ancient Chinese characters. This paper analyzed the feature of ancient Chinese characters. Aiming at the key problems such as feature extraction and clustering, we designed a simple and effective neighbor clustering method for ancient Chinese character images which extracts adoptive feature of the coarse periphery features, the second coarse periphery features and the edge directional line element feature of ancient characters images. The experimental results show that the character clustering algorithm is effective.
引用
收藏
页码：1686 / 1689
页数：4
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