Hangul Font Dataset for Korean Font Research Based on Deep Learning


KIPS Transactions on Software and Data Engineering, Vol. 10, No. 2, pp. 73-78, Feb. 2021
https://doi.org/10.3745/KTSDE.2021.10.2.73,   PDF Download:
Keywords: Deep Learning, Font Data, Automatic Font Generation, Hangul Font Dataset, Hangul Font
Abstract

Recently, as interest in deep learning has increased, many researches in various fields using deep learning techniques have been conducted. Studies on automatic generation of fonts using deep learning-based generation models are limited to several languages such as Roman or Chinese characters. Generating Korean font is a very time-consuming and expensive task, and can be easily created using deep learning. For research on generating Korean fonts, it is important to prepare a Korean font dataset from the viewpoint of process automation in order to keep pace with deep learning-based generation models. In this paper, we propose a Korean font dataset for deep learning-based Korean font research and describe a method of constructing the dataset. Based on the Korean font data set proposed in this paper, we show the usefulness of the proposed dataset configuration through the process of applying it to a deep learning Korean font generation application.


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Cite this article
[IEEE Style]
D. H. Ko, H. Lee, J. Suk, A. U. Hassan, J. Choi, "Hangul Font Dataset for Korean Font Research Based on Deep Learning," KIPS Transactions on Software and Data Engineering, vol. 10, no. 2, pp. 73-78, 2021. DOI: https://doi.org/10.3745/KTSDE.2021.10.2.73.

[ACM Style]
Debbie Honghee Ko, Hyunsoo Lee, Jungjae Suk, Ammar Ul Hassan, and Jaeyoung Choi. 2021. Hangul Font Dataset for Korean Font Research Based on Deep Learning. KIPS Transactions on Software and Data Engineering, 10, 2, (2021), 73-78. DOI: https://doi.org/10.3745/KTSDE.2021.10.2.73.