When exporting or importing global content, it is essential to identify fonts with similar shapes, in addition to translating text. In our previous research, we developed a font-matching algorithm using deep learning that works across multiple languages. In this paper, we present the process of creating a pivot font mapping table, which serves as an example of matching actual Hangul and Thai fonts for similar font matching. We conducted a survey among experts to establish the pivot font mapping and confirmed its significance by analyzing typography. Using the mapping table generated through this process, we successfully matched similar fonts between Hangul and Thai, as well as Thai and Hangul. Our results demonstrate that our font matching system effectively identifies similar-looking fonts in each language.
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Park et al. (2024) studied this question.
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