Generating Chinese Typographic and Handwriting Fonts from a Small Font Sample Set

@article{Lu2018GeneratingCT,
  title={Generating Chinese Typographic and Handwriting Fonts from a Small Font Sample Set},
  author={Shao-Yi Lu and Tien-Ruey Hsiang},
  journal={2018 International Joint Conference on Neural Networks (IJCNN)},
  year={2018},
  pages={1-8}
}
Traditional Chinese is significantly different from other major languages, as compared to western countries use Latin alphabet letters system, Chinese contains over 13,000 common and sub-commonly used characters. Each of these Chinese characters is composed of multiple parts, which are arranged and combined according to various orthographies. Therefore, how to handle these enormous character counts and how to design of more efficient fonts are longstanding issues in the creation of Chinese… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Automatic generation of large-scale handwriting fonts via style learning

  • SIGGRAPH Asia Technical Briefs
  • 2016
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Neural Style Transfer: A Review

  • IEEE transactions on visualization and computer graphics
  • 2017
VIEW 1 EXCERPT

Seeker for CNS 11643 Chinese Standard Interchange Code [Online]. Available: http://www.cns11643.gov.tw

Master Ideographs
  • 2017
VIEW 2 EXCERPTS

Image Style Transfer Using Convolutional Neural Networks

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 2 EXCERPTS

On-line handwritten Chinese character recognition based on inter-radical stochastic context-free grammar

  • The 2012 International Joint Conference on Neural Networks (IJCNN)
  • 2012
VIEW 1 EXCERPT

Easy generation of personal Chinese handwritten fonts

  • 2011 IEEE International Conference on Multimedia and Expo
  • 2011
VIEW 1 EXCERPT