Automatic generation of personalized Chinese handwriting characters

Peng Liu, Songhua Xu, Shujin Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


This paper presents a novel algorithmic method for automatically generating personal handwriting styles of Chinese characters through an example-based approach. The method first splits a whole Chinese character into multiple constituent parts, such as strokes, radicals, and frequent character components. The algorithm then analyzes and learns the characteristics of character handwriting styles both defined in the Chinese national font standard and those exhibited in a person's own handwriting records. In such an analysis process, we adopt a parametric representation of character shapes and also examine the spatial relationships between multiple constituent components of a character. By imitating shapes of individual character components as well as the spatial relationships between them, the proposed method can automatically generate personalized handwritings following an example-based approach. To explore the quality of our automatic generation algorithm, we compare the computer generated results with the authentic human handwriting samples, which appear satisfying for entertainment or mobile applications as agreed by Chinese subjects in our user study.

Original languageEnglish (US)
Title of host publicationProceedings - 4th International Conference on Digital Home, ICDH 2012
Number of pages8
StatePublished - Dec 1 2012
Externally publishedYes
Event4th International Conference on Digital Home, ICDH 2012 - Guangzhou, China
Duration: Nov 23 2012Nov 25 2012


Other4th International Conference on Digital Home, ICDH 2012

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Building and Construction


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