• The Transactions of the Korea Information Processing Society
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• v.3 no.6
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• pp.1580-1587
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• 1996

The Hangul font design by using Hangul automata is more economical than other system in terms of the time to generate whole Hangul font set. In order to obtain good quality of Hangul font by this system, it is known that more Hangul jamo font primitives rules. In this paper, we present an effective combing rules in order to generate Hangul font set and to provide an integrated capabilities in Hangul font design environment.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.1-13
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• 2021

In this research, we study the problem of font image skeletonization using an end-to-end deep adversarial network, in contrast with the state-of-the-art methods that use mathematical algorithms. Several studies have been concerned with skeletonization, but a few have utilized deep learning. Further, no study has considered generative models based on deep neural networks for font character skeletonization, which are more delicate than natural objects. In this work, we take a step closer to producing realistic synthesized skeletons of font characters. We consider using an end-to-end deep adversarial network, SkelGAN, for font-image skeletonization, in contrast with the state-of-the-art methods that use mathematical algorithms. The proposed skeleton generator is proved superior to all well-known mathematical skeletonization methods in terms of character structure, including delicate strokes, serifs, and even special styles. Experimental results also demonstrate the dominance of our method against the state-of-the-art supervised image-to-image translation method in font character skeletonization task.

• Korean Journal of Cognitive Science
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• v.18 no.1
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• pp.15-34
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• 2007

Two experiments were conducted to examine whether the word superiority effect (WSE) can be affected by visual familiarity of Hangout font and visual identicalness between target letter and test letter. In experiment 1, Using Batang-font as a target font, it was tested whether the consistency between test font and target font could affect the WSE across different display time conditions. In experiment 2, using the Batang-font and Sebeul-font, the effort of visual familiarity on WSE were investigated. The results revealed that the WSE was found regardless the consistency between target and test letter. In addition, it was found that visual familiarity could affect overall detection rate, but not WSE. These results suggested that the WSE on Hanguel is independent of visual properties.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.10a
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• pp.96-97
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• 2004

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.793-798
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• 2000

As we review the mechanism regarding digital font generation and birth of TrueType font, we realizes that the process is composed of sequential steps such as contour fonts from glyph table. This fact implies that we propose classification of TrueType font in terms of segment width and the number of occurrence from the glyph data.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.2
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• pp.65-76
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• 2004

Today, most documents are electronically produced and their paleography is digitalized by imaging, resulting in a tremendous number of electronic documents in the shape of images. Therefore, to process these document images, many methods of document structure analysis and recognition have already been proposed, including font classification. Accordingly, the current paper proposes a font classification method for document images that uses non-negative matrix factorization (NMF), which is able to learn part-based representations of objects. In the proposed method, spatially total features of font images are automatically extracted using NMF, then the appropriateness of the features specifying each font is investigated. The proposed method is expected to improve the performance of optical character recognition (OCR), document indexing, and retrieval systems, when such systems adopt a font classifier as a preprocessor.

• Journal of the Ergonomics Society of Korea
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• v.33 no.6
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• pp.499-513
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• 2014

Objective: The objective of this study was to examine frame ratio of text information and font size in the circle smartwatch. Background: Recently, electronic manufacturers try to develop the original metaphor of traditional wrist watch (circle) in terms of smartwatch. They endeavor to break the square display in order to improve emotional customer satisfaction. Method: The experiments examined twenty level of text information design, combinations of four frame ratios (1:1, 4:3, 16:9, 21:9) and five font sizes (6pt, 7pt, 8pt, 9pt, 10pt). Nineteen participants volunteered for the experiment. Dependent variables were WPM (Words per Minute), reading preference, design preference and total preference. Furthermore, small circle display was made by using circle display data (1.3inch), which was exhibited in IFA (International Funkausstellung) 2014. Results: As a result, ANOVA (Analysis of Variance) revealed that WPM, and task time preference affect the specific frame ratio and font size. Results of ANOVA for reading preference, design preference, total preference were grouped by post-analysis LSD (Least Significant Difference). Among users, display ratio (16:9, 21:9), and font size (9pt) were preferred. In conclusion, 16:9 display ratio and 9pt are adaptable for text information in 1.3inch circle display. Conclusion: From the study, it is shown that 16:9 display ratio and 9pt size are more adaptable for text information in 1.3inch circle display than others. It is mainly due to the fact that the order of frame ratio and font size may affect the usability of reading long text information in a small circle display. Therefore, when developers design a circle display, the square frame ratio and font size are required to be considered according to circle size. Application: The 16:9 display ratio and 9pt font size may be utilized as a text information frame in the circle display design guideline for smartwatch.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.194-195
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• 2005

• Journal of the Korean Society for Library and Information Science
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• v.3
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• pp.47-82
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• 1973

In this study, I have tried to examine the movable type font called 'Chwijinja' (聚珍字) as hitherto and the book printed in Chwijinia for the first time. In order to illustrate the orgin of it more clearly, I introduced Bubyeogru-jungsugi(浮碧樓重修記.) which has been believed the first printed edition of this book and also some other books printed in the same movable type font. By the way, I introduced some views of other bibliographers on Chwijinja. I refuted the views that Chwijinja is metal type and then I substantiated it is wooden type. I also presented three hypotheses on the formation of Chwijinja. I described the reason why we had better change the name of that printing type into 'Bang-Chwijin-pansig Pilseoche Wooden Type'(倣聚珍版式筆書木活字) on the basis of that its name is common noun. I also explained about 'Yeonmu Wooden Type'(燕貿木(唐)字, Wooden Type font imported from China) which is relevant to my description.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1403-1409
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• 1999

This paper proposes an algorithm for distinguishing Korean and English characters which can be applied to multi-font by using of the ratio height to width of each character and the structural characteristics. The proposed algorithm distinguishes Korean and English characters as the aspect ratio, existing or not of stroke image on the left-upper area, and detection of a bar in an input image. The process of detecting bar is a sequence of left, upper, right, and lower. Experimental results yield 100.00% distinction rate for the Myungjo font, 99.96% for the Sinmyungjo font and the Kungseo font, and 99.77% for the Gothic font of Hanguel word processor.