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Proceedings Paper

Optical font recognition of single Chinese character
Author(s): Li Chen; Xiaoqing Ding
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Paper Abstract

Printed character image contains not only the information of characters, but also the information of fonts. Font information is essential in layout analysis and reconstruction, and is helpful to improve the performance of character recognition system. An algorithm for font recognition of single Chinese character is proposed in this paper. The aim is to analyze a single Chinese character and to identify the font. No priori knowledge of characters is required for font recognition. The new algorithm can recognize the font of a single Chinese character while existing methods are all based on a block of text. Stroke property features and stroke distribution features are extracted from a single Chinese character and two classifiers are employed to classify different fonts. We combine these two classifiers by logistic regression method to get the final result. Experiment shows that our method can recognize the font of a single Chinese character effectively.

Paper Details

Date Published: 13 January 2003
PDF: 8 pages
Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); doi: 10.1117/12.476017
Show Author Affiliations
Li Chen, Tsinghua Univ. (China)
Xiaoqing Ding, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5010:
Document Recognition and Retrieval X
Tapas Kanungo; Elisa H. Barney Smith; Jianying Hu; Paul B. Kantor, Editor(s)

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