A hybrid-feature-based efficient retrieval over Chinese calligraphic manuscript image repository

Authors:
Yi Zhuang;Chengxiang Yuan
Affiliations:
College of Computer & Information Engineering, Zhejiang Gongshang University, P.R. China;College of Computer & Information Engineering, Zhejiang Gongshang University, P.R. China
Venue:
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Year:
2010

Citing 2
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Interactive high-dimensional index for large Chinese calligraphic character databases

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Abstract

In this paper, we propose an interactive indexing scheme to facilitate an efficient search of Chinese calligraphic manuscript images based on hybrid features such as contour points and number of strokes. Different from conventional character retrieval and indexing methods [6], our proposed indexing algorithm allows user to choose other feature such as stroke of character they prefer to as query element. To better facilitate an efficient and unified retrieval, we then propose a Hybrid-Feature-Tree(HF-Tree)-based high- dimensional indexing scheme. Comprehensive experiments are conducted to testify its effectiveness and efficiency.