Brush writing style classification from individual Chinese characters

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages884-887
Volume1
Publication statusPublished - 2006

Publication series

Name
Volume1
ISSN (Print)1051-4651

Conference

Title18th International Conference on Pattern Recognition, ICPR 2006
PlaceChina
CityHong Kong
Period20 - 24 August 2006

Abstract

Chinese calligraphic artwork usually contains a few or even a single character. In order to perform automatic brush writing style classification on these kinds of Chinese calligraphic images, existing approaches need to be modified because they assume that many characters of the same style exist in the input image. A novel approach is proposed to address the brush writing style classification problem for single-character Chinese calligraphic images by combining the texture analysis and the structural information through a set of parameterised ellipses. © 2006 IEEE.

Citation Format(s)

Brush writing style classification from individual Chinese characters. / Wong, Sam T. S.; Leung, Howard; Ip, Horace H. S.

Proceedings - International Conference on Pattern Recognition. Vol. 1 2006. p. 884-887 1699031.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review