Retrieval of chinese calligraphic character image

Authors:
Yueting Zhuang;Xiafen Zhang;Jiangqin Wu;Xiqun Lu
Affiliations:
The Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P.R. China;The Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P.R. China;The Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P.R. China;The Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P.R. China
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2004

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Abstract

Numerous collection of Chinese calligraphy is a valuable civilization legacy. However, it is very difficult to employ any existing techniques to retrieve them, because similarity measure is not a trivial problem for Chinese calligraphic characters. In this paper, a novel method is presented to retrieve Chinese calligraphic character images using approximate correspondence point algorithm. In this method, shapes of calligraphic characters are represented by their contour points. We first compute point contexts and find approximate point correspondence in the other character, and then retrieve calligraphic characters according to their accumulated matching cost. Finally, the efficiency of our algorithm is demonstrated by a preliminary experiment.