Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

Component-stroke Corresponding System for Chinese Characters of Different Styles

Authors
YunLong Che, XiaoHui Liang, Pengfei Yue
Corresponding Author
YunLong Che
Available Online July 2015.
DOI
https://doi.org/10.2991/csic-15.2015.90How to use a DOI?
Keywords
Chinese character, Component-stroke, Feature points, Correspondence, Sematic information
Abstract

Stroke and shape of the Chinese character with different script has changed hugely among different style. To present the correspondence between Chinese characters component-strokes, this paper designs a component-stroke corresponding system for Chinese characters based on sematic knowledge. Firstly, we acquire the correspondence between components by the way of semi-automatic. Then we get the feature points from the intersection of skeleton and contour by skeleton algorithm, finally we finish the Chinese character component-stroke correspondence process. Our system can present a robust and fast component-strokes correspondence results.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/csic-15.2015.90How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - YunLong Che
AU  - XiaoHui Liang
AU  - Pengfei Yue
PY  - 2015/07
DA  - 2015/07
TI  - Component-stroke Corresponding System for Chinese Characters of Different Styles
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 375
EP  - 378
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.90
DO  - https://doi.org/10.2991/csic-15.2015.90
ID  - Che2015/07
ER  -