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GENERATING NEW STYLES OF CHINESE STROKES BASED ON STATISTICAL MODEL

Abstract

Chinese calligraphy is one of the most important Chinese arts: a form of entertainment as well as an embodiment of figurative thinking. In this paper, a statistical model-based approach to generating new styles of Chinese character strokes is proposed. Original calligraphy samples are aligned in a common co-ordinate frame and a training set consisting of landmarks is generated semi-automatically. The most significant features of the training set are extracted and a statistical model is built in order to generate strokes in new styles. The Bezier curve is used to fit the discrete contour data.

Keywords:

figurative thinking, Principal Components Analysis, Bezier curve

Details

Issue
Vol. 11 No. 1-2 (2007)
Section
Research article
Published
2007-06-30
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

MIAO XU,
East China Normal University, School of Information Science and Technology



JUN DONG,
East China Normal University, Software Engineering Institute



Authors

  • MIAO XU

    East China Normal University, School of Information Science and Technology
  • JUN DONG

    East China Normal University, Software Engineering Institute

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