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Automatic Generation of Chinese Character Based on Human Vision and Prior Knowledge of Calligraphy

  • Conference paper
Book cover Natural Language Processing and Chinese Computing (NLPCC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 333))

Abstract

Prior knowledge of Chinese calligraphy is modeled in this paper, and the hierarchical relationship of strokes and radicals is represented by a novel five layer framework. Calligraphist’s unique calligraphy skill is analyzed and his particular strokes, radicals and layout patterns provide raw element for the proposed five layers. The criteria of visual aesthetics based on Marr’s vision assumption are built for the proposed algorithm of automatic generation of Chinese character. The Bayesian statistics is introduced to characterize the character generation process as a Bayesian dynamic model, in which, parameters to translate, rotate and scale strokes, radicals are controlled by the state equation, as well as the proposed visual aesthetics is employed by the measurement equation. Experimental results show the automatically generated characters have almost the same visual acceptance compared to calligraphist’s artwork.

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Author information

Authors and Affiliations

  1. Institute of Computer Science & Technology, Peking University, Beijing, China

    Cao Shi, Jianguo Xiao, Wenhua Jia & Canhui Xu

  2. Postdoctoral Workstation of the Zhongguancun Haidian Science Park and Peking University Founder Group Co. Ltd, Beijing, China

    Canhui Xu

  3. State Key Laboratory of Digital Publishing Technology, Beijing, China

    Canhui Xu

Authors
  1. Cao Shi
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  2. Jianguo Xiao
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  3. Wenhua Jia
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  4. Canhui Xu
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Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Ming Zhou

  2. Soochow University, 215006, Suzhou, China

    Guodong Zhou

  3. Institute of Computer Science & Technology, Peking University, 100871, Beijing, China

    Dongyan Zhao  & Lei Zou  & 

  4. Institute of Computing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road, Haidian District, 100190, Beijing, China

    Qun Liu

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© 2012 Springer-Verlag Berlin Heidelberg

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Shi, C., Xiao, J., Jia, W., Xu, C. (2012). Automatic Generation of Chinese Character Based on Human Vision and Prior Knowledge of Calligraphy. In: Zhou, M., Zhou, G., Zhao, D., Liu, Q., Zou, L. (eds) Natural Language Processing and Chinese Computing. NLPCC 2012. Communications in Computer and Information Science, vol 333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34456-5_3

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  • DOI: https://doi.org/10.1007/978-3-642-34456-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34455-8

  • Online ISBN: 978-3-642-34456-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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