A retrieval method of ancient Chinese character images based on neighbor clustering
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.
ancient Chinese characters image clustering coarse periphery features second coarse periphery features directional line elements
Li Jiang Fang Yang Xiufen Miao Yan Ha Xuedong Tian
College of Mathematics and Computer, HeBei University Baoding, China
国际会议
哈尔滨
英文
1686-1689
2011-12-24（万方平台首次上网日期，不代表论文的发表时间）