ScholarWorks@숙명여자대학교

초록

In the Korean font market, a wide variety of new fonts with diverse designs are continuously being developed, making the selection of appropriate fonts crucial for effective information delivery. However, there has been no standardized method to systematically define and quantify the structural characteristics of Korean fonts. As a result, analyzing the morphological features of fonts in a quantitative manner and using this information for classification or comparison has remained a challenge. PANOSE is a system that quantifies the visual characteristics of fonts, enabling structured classification and similarity evaluation. While it effectively organizes and compares fonts, it was primarily designed for English scripts, failing to fully capture the unique typographic properties of Korean fonts. To address this limitation, this study defines the key morphological elements of Korean fonts and develops an algorithm, K-PANOSE (Korean font PANOSE), to measure them. Based on prior research, we first established key structural attributes of Korean fonts, such as character composition, stroke thickness, and proportional balance. We then designed an algorithm to quantitatively assess these attributes. Finally, we validated that K-PANOSE performs at a comparable level to the existing PANOSE system, demonstrating its ability to effectively analyze and classify Korean fonts. K-PANOSE is not merely a tool for font selection; rather, it introduces a new standard for quantifying and systematically analyzing the structural characteristics of Korean fonts. This advancement enables broader applications, including font recommendation systems, digital typography, and AI-driven design automation, ultimately contributing to the quality, accessibility, and diversity of Korean typography.

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