• Jun 03, 2019 News!Vol.9, No.5-Vol.10, No.3 have been indexed by EI (Inspec).   [Click]
  • Jun 18, 2021 News!Vol.13, No.3 has been published with online version.   [Click]
  • Apr 09, 2021 News!Vol.13, No.2 has been published with online version.   [Click]
General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2020 Vol.12(4): 92-96 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2020.V12.1270

Korean Font Synthesis with GANs

Debbie Honghee Ko, Ammar Ul Hassan, Jungjae Suk, and Jaeyoung Choi
Abstract—Font synthesis for CJK based languages that consists of large number of characters and complex structures is still a major challenge and ongoing research problem for computer vision and AI. In this paper, we propose a generative model based on GANs as a solution for Korean font synthesis problem with a small set of characters. Korean Hangul includes 11,172 characters and composes of writing in multiple patterns. Normally font design involves heavy loaded human labor that can easily hit to one year to finish for one style set. Various methods have been proposed to solve this character generation problem using generative models such as GANs, but the results are often blurry or broken and are far from realistic. We generate visually appealing Korean Hangul characters with a skeleton-driven approach. We demonstrate that this approach is effective at synthesizing characters from their corresponding skeletons. With 114 samples, the proposed method automatically generates the rest of the characters in the same given font style. Our approach resolves long overdue shortfalls such as blurriness, breaking, and unrealistic shapes and styles of characters using GANs. We demonstrate via our experiments that our approach has better quality then other methods.

Index Terms—GANs, typography, domain translation, style transfer.

Debbie Honghee Ko, Ammar Ul Hassan, Jungjae Suk, and Jaeyoung Choi are with School of Computer Science and Engineering, Soongsil University (e-mail: debbie.pust@gmail.com, ammar.instantsoft@gmail.com, jjsuk256@gmail.com, choi@ssu.ac.kr).


Cite:Debbie Honghee Ko, Ammar Ul Hassan, Jungjae Suk, and Jaeyoung Choi, "Korean Font Synthesis with GANs," International Journal of Computer Theory and Engineering vol. 12, no. 4, pp. 92-96, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Copyright © 2008-2021. International Association of Computer Science and Information Technology. All rights reserved.