A Web-Based Search Engine for Chinese Calligraphic Manuscript Images

Authors:
Yi Zhuang;Nan Jiang;Haiyang Hu
Affiliations:
College of Computer & Information Engineering, Zhejiang Gongshang University, P.R.China and Zhejiang Provincial Key Laboratory of Information Network Technology, P.R.China;Hangzhou No. 1 Hospital, P.R.China;College of Computer & Information Engineering, Zhejiang Gongshang University, P.R.China
Venue:
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
Year:
2009

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Abstract

In this paper, we propose a novel framework for the web-based retrieval of Chinese calligraphic manuscript images which includes two main components: 1). A S hape- S imilarity (SS)-based method which is to effectively support a retrieval over large Chinese calligraphic manuscript databases [19]. In this retrieval method, shapes of calligraphic characters are represented by their approximate contour points extracted from the character images; 2). To speed up the retrieval efficiency, we then propose a C omposite - D istance- Tree (CD-Tree)-based high-dimensional indexing scheme for it. Comprehensive experiments are conducted to testify the effectiveness and efficiency of our proposed retrieval and indexing methods respectively.