• KIISE Transactions on Computing Practices
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• v.22 no.9
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• pp.449-454
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• 2016

Radicals of Korean characters consist of some strokes, and complete letters are comprised of a combination of radicals. During the process of combining strokes and radicals, it requires a lot of effort as the size and the position of the components can be changed. Unlike this, METAFONT can improve the efficiency in the production process of fonts by changing its parameters. It also provides a system which can easily transform size and position of the strokes and radicals. We propose a structural Korean font generator which allows users to modify parameters of letters through METAFONT and generates a variety of fonts automatically. The suggested Korean font generator can be applied to font embedding and font editor.

• Smart Media Journal
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• v.10 no.1
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• pp.79-87
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• 2021

In recent years research on automatic font generation with machine learning mainly focus on using transformation-based methods, in comparison, generative model-based methods of font generation have received less attention. Transformation-based methods learn a mapping of the transformations from an existing input to a target. This makes them ambiguous because in some cases a single input reference may correspond to multiple possible outputs. In this work, we focus on font generation using the generative model-based methods which learn the buildup of the characters from noise-to-image. We propose a novel way to train a conditional generative deep neural model so that we can achieve font style control on the generated font images. Our research demonstrates how to generate new font images conditioned on both character class labels and character style labels when using the generative model-based methods. We achieve this by introducing a modified generator network which is given inputs noise, character class, and style, which help us to calculate losses separately for the character class labels and character style labels. We show that adding the character style vector on top of the character class vector separately gives the model rich information about the font and enables us to explicitly specify not only the character class but also the character style that we want the model to generate.

• Archives of design research
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• v.16 no.1
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• pp.5-14
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• 2003

As the digital technology has improved, the numbers of Hangul font users have increased and their individual needs and taste are diversified. Therefore new and various Hangul fonts out of traditional form are developed and used. But under the present font classification system, it is hard to compare and analyze these various fonts. And the present classification system is hard to be the font user's guide for proper use of various Hangul fonts. For the better use of Hangul font, to diversify the font classification system is needed. So we propose the development of these thru classification standards. First, structural classification based on the structural character of Hangul. Second, image classification based on the visual images of each font. And third, usage classification based on the fonts proper usage in various media. For the development of various typographically balanced fonts and for the suitable and effective use of the various font, we must try to build the font classification system based on the diversified classification standards and build Hangul font database based on this classification system. Through these studies, we can expect the development of good quality fonts and the better use of these fonts.

• Journal of Korea Multimedia Society
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• v.25 no.9
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• pp.1328-1337
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• 2022

Recently, research on various font designs has been actively conducted to deliver effective emotional information in a digital environment. In this study, we propose a Hangul font outline vector modification algorithm that effectively conveys sensitivity according to weather information and can be transformed immediately. The algorithm performs a series of transformations: sets outlines according to design pattern templates, calculates the glyph's position to reflect physical rules, splits outline segments into smaller sizes and deforms the outlines. Through this, we could create several vector font designs such as humidity, cloud, wind, and snow. The usability evaluation was close to good, so it can be used in diverse ways if we improve readability and effective design expression.

• Proceedings of the KAIS Fall Conference
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• 2004.11a
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• pp.163-165
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• 2004

An identification of a font allows that an OCR system can perform font-specific processes, which consist of various mono-font segmentation tools and recognizers According to the font styles, character segmentation method should be applied differently. Touching characters in slant style cannot be segmented vertically but segmented on a slant. This paper proposes that touching characters in italic style can be segmented vertically after slant normalization.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.138-139
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• 2005

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.46-49
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• 2008

This study aims to suggest basic materials to develop an emotional font for future Hangeul font development plan by investigating emotional reaction displayed through the subjects and by quantifying its contribution of the stimulation elements causing such reaction. For this, a survey of 150 university students who are currently enrolled in the College of Design was conducted in order to analyze correlation between 30 emotional words extracted from the Hangeul font and the selected 36 sample fonts. The combined data was described with the two dimensional dispersion using the quantification theory type III. The analysis found out that the Hangeul font forms the x-axis showing "soft(dynamic).hard(static)" and the y-axis showing "modern(light).classic(heavy)”. Specifically, there exist emotional groups such as "archaic","masculine","feminine","negative", and "modern static"on each axis. In addition, to extract the casual relationship between the value of emotional reaction and its stimulation elements quantitatively, the author indicated the emotional words of each axis and the total value of equivalent five emotional word groups as the standard variance and the constituent of Hangeul font as the independent variable, and then the quantification theory type I was used to analyze the physical elements of the Hangeul font. As a result, "the centerline of gravity(base line)" and "thickness variance of a stroke" on the two axes, and "the centerline of gravity(base line)" and "decoration" among the five groups were identified as the most influential elements that affect the emotional reaction of the subjects.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.17-24
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• 2019

Use without permission of font files is a social problem. In the meantime, our court recognized font files as computer programs. Is the font file a computer program? This recognition arises from the inability to distinguish between computer programs and data. Expert recognition, on the other hand, does not recognize font files as computer programs. In this regard, there was a case in 2014 that INI files were not computer programs, but only data files. So, the attitude of the Supreme Court in 2001 only makes it difficult to distinguish between computer programs and data. The Supreme Court's decision needs to be changed. In addition, a new legal system should be in place to protect font files.

• Korean Journal of Cognitive Science
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• v.34 no.4
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• pp.259-275
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• 2023

The aim of this study was to investigate font change blindness based on text difficulty in the "Moving Window Task", as originally introduced by McConkie and Rayner(1975). During the reading process where the moving window was applied, different target words in terms of font style compared to the text were presented. As participants' gaze reached the position of the target word, the font of the target word was changed to match the text font. The font of the target word before the change was either sans-serif when the text font was serif, or serif when the text font was sans-serif. After completing the reading task, more than half of the participants(62.5%) reported not detecting the font change. Observation of eye movements at the target word positions revealed that when understanding the content within the text was difficult, there was an increase in the number of regressions, an extended gaze duration, and a reduction in saccade length. Specifically, the increase in the number of regressions was evident only when the text font was serif, in other words, when the font of the target word shifted from sans-serif to serif. These results suggest that sensory interference unrelated to content understanding is not easily detected during reading. However, the possibility of detection increases when comprehension of the content becomes challenging. Furthermore, this exceptional detection possibility implies that it may be higher when the text font is serif compared to when it is sans-serif.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.3
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• pp.52-58
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• 1999

This paper proposed and algorithm for distinguishing Korean and English characters which can be applied to multi-size and multi-font images The proposed algorithm distinguishes them as the ratio height to width of each character, the number of connected component, existing or not of stroke image on the left-upper area and detection of bars in an input image. The process of detecting bar is a sequence of left, upper, right, and lower. The proposed method was experimented and proved good performance for the Myungjo font, the Sinmyungjo font, the Gothic font, and the Kungseo font of Hanguel word processor which is widely used for the writing of documents.