Brush writing style classification from individual Chinese characters
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Pages | 884-887 |
| Volume | 1 |
| Publication status | Published - 2006 |
Publication series
| Name | |
|---|---|
| Volume | 1 |
| ISSN (Print) | 1051-4651 |
Conference
| Title | 18th International Conference on Pattern Recognition, ICPR 2006 |
|---|---|
| Place | China |
| City | Hong Kong |
| Period | 20 - 24 August 2006 |
Link(s)
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.
Proceedings - International Conference on Pattern Recognition. Vol. 1 2006. p. 884-887 1699031.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
