Hierarchical approximate matching for retrieval of chinese historical calligraphy character

Authors:
Xia-Fen Zhang;Yue-Ting Zhuang;Jiang-Qin Wu;Fei Wu
Affiliations:
Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China and College of Information Engineering, Shanghai Maritime University, Shanghai, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China
Venue:
Journal of Computer Science and Technology
Year:
2007

Citing 12
Cited 1

Indexing handwriting using word matching

Proceedings of the first ACM international conference on Digital libraries
Texture Features for Browsing and Retrieval of Image Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
A new lingiustic decoding method for online handwritten Chinese character recognition

Journal of Computer Science and Technology
PK-tree: a spatial index structure for high dimensional point data

Information organization and databases
Combination of Multiple Classifiers for Handwritten Word Recognition

IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Holistic Word Recognition for Handwritten Historical Documents

DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
A search engine for historical manuscript images

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical matching for retrieval of hand-drawn sketches

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Technical issues on the China-US million book digital library project

ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Retrieval of chinese calligraphic character image

PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Retrieval by shape similarity with perceptual distance andeffective indexing

IEEE Transactions on Multimedia
Shape indexing using self-organizing maps

IEEE Transactions on Neural Networks

A novel algorithm for generating Muhammad pattern based on cellular automata

MATH'08 Proceedings of the 13th WSEAS international conference on Applied mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

As historical Chinese calligraphy works are being digitized, the problem of retrieval becomes a new challenge. But, currently no OCR technique can convert calligraphy character images into text, nor can the existing Handwriting Character Recognition approach does not work for it. This paper proposes a novel approach to efficiently retrieving Chinese calligraphy characters on the basis of similarity: calligraphy character image is represented by a collection of discriminative features, and high retrieval speed with reasonable effectiveness is achieved. First, calligraphy characters that have no possibility similar to the query are filtered out step by step by comparing the character complexity, stroke density and stroke protrusion. Then, similar calligraphy characters are retrieved and ranked according to their matching cost produced by approximate shape match. In order to speed up the retrieval, we employed high dimensional data structure -- PK-tree. Finally, the efficiency of the algorithm is demonstrated by a preliminary experiment with 3012 calligraphy character images.