Example-based Chinese Calligraphy Synthesis
- 10.2991/acaai-18.2018.59How to use a DOI?
- Chinese calligraphy synthesis; Chinese character topology; recurrent neural networks; optimization
Chinese calligraphy synthesis is important meaningful to protect non-heritage cultural and augmented reality. In this paper, we proposed an algorithm of Chinese Calligraphy synthesis based on examples. First, we construct a stroke library represented by vector. Second, we obtain the trajectory of character stroke from the digital tablet input, and match the most similar character stroke from the stroke library and replace the trajectory with it. Third, we evaluate the style using recurrent neural networks (RNNs). We also propose a new model to describe Chinese character topology by 9-intersections & range relation (9IRR) according to experience. Finally, we employ simulated annealing strategy to optimize the Chinese character topology with aesthetic requirements. Experimental results show that character shapes generated are visual pleasing.
- © 2018, 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 - Wei Li AU - Yumin Chen AU - Chao Tang AU - Shaoyong Yu PY - 2018/03 DA - 2018/03 TI - Example-based Chinese Calligraphy Synthesis BT - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018) PB - Atlantis Press SP - 253 EP - 256 SN - 1951-6851 UR - https://doi.org/10.2991/acaai-18.2018.59 DO - 10.2991/acaai-18.2018.59 ID - Li2018/03 ER -