• Title/Summary/Keyword: Hangul Fonts

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Hangul Component Decomposition in Outline Fonts (한글 외곽선 폰트의 자소 분할)

  • Koo, Sang-Ok;Jung, Soon-Ki
    • Journal of the Korea Computer Graphics Society
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    • v.17 no.4
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    • pp.11-21
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    • 2011
  • This paper proposes a method for decomposing a Hangul glyph of outline fonts into its initial, medial and final components using statistical-structural information. In a font family, the positions of components are statistically consistent and the stroke relationships of a Hangul character reflect its structure. First, we create the component histograms that accumulate the shapes and positions of the same components. Second, we make pixel clusters from character image based on pixel direction probabilities and extract the candidate strokes using position, direction, size of clusters and adjacencies between clusters. Finally, we find the best structural match between candidate strokes and predefined character model by relaxation labeling. The proposed method in this paper can be used for a study on formative characteristics of Hangul font, and for a font classification/retrieval system.

Hangul Font Dataset for Korean Font Research Based on Deep Learning (딥러닝 기반의 한글 폰트 연구를 위한 한글 폰트 데이터셋)

  • Ko, Debbie Honghee;Lee, Hyunsoo;Suk, Jungjae;Hassan, Ammar Ul;Choi, Jaeyoung
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.2
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    • pp.73-78
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    • 2021
  • 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.

Hangul Font Editor based on Multiple Master Glyph Algorithm (다중 마스터 글리프 알고리즘을 적용한 한글 글꼴 에디터)

  • Lim, Soon-Bum;Kim, Hyun-Young;Chung, Hwaju;Park, Ki-Deok;Choi, Kyong-Sun
    • KIISE Transactions on Computing Practices
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    • v.21 no.11
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    • pp.699-705
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    • 2015
  • Thousands of glyphs are necessary for Hangul font generation. It is mandatory to generate the required glyphs before producing Hangul font. This paper, entitled "Multiple Master Glyph Algorithm", presents an process that generates a target number of glyphs automatically from a very small number of glyphs by using a combination rule setting and a glyph interpolation method. A font editor, which is able to generate Hangul glyphs or fonts, is developed based on this algorithm. The editor generates a target number of fundamental glyphs automatically by using a combination rule setting and four master glyphs, which can be set up by a user. The automatically generated glyphs can be used to generate a target font by combining KSX1001 standard Hangul 2350 characters or Unicode standard Hangul 11172 characters automatically. The efficiency of the proposed Hangul editor is analyzed quantitatively in this paper through application to several commercial typefaces.

Few-Shot Content-Level Font Generation

  • Majeed, Saima;Hassan, Ammar Ul;Choi, Jaeyoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1166-1186
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    • 2022
  • Artistic font design has become an integral part of visual media. However, without prior knowledge of the font domain, it is difficult to create distinct font styles. When the number of characters is limited, this task becomes easier (e.g., only Latin characters). However, designing CJK (Chinese, Japanese, and Korean) characters presents a challenge due to the large number of character sets and complexity of the glyph components in these languages. Numerous studies have been conducted on automating the font design process using generative adversarial networks (GANs). Existing methods rely heavily on reference fonts and perform font style conversions between different fonts. Additionally, rather than capturing style information for a target font via multiple style images, most methods do so via a single font image. In this paper, we propose a network architecture for generating multilingual font sets that makes use of geometric structures as content. Additionally, to acquire sufficient style information, we employ multiple style images belonging to a single font style simultaneously to extract global font style-specific information. By utilizing the geometric structural information of content and a few stylized images, our model can generate an entire font set while maintaining the style. Extensive experiments were conducted to demonstrate the proposed model's superiority over several baseline methods. Additionally, we conducted ablation studies to validate our proposed network architecture.

The Effect on Legibility of the Inner Space Width of Hangeul Characters: Focusing on the Outer Space Width (한글꼴의 속공간 넓이가 가독성에 미치는 영향: 외부 속공간을 중심으로)

  • Jeon, Eoun-Sun;Kim, Sung-Kye
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.498-510
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    • 2022
  • Among the various factors that form fonts, the concept of a new Korean font term called Inner Space Width was developed and the effect of changes in fonts applied to readability was analyzed. [Experiment 1] An empirical analysis was attempted on how the Korean-shaped Outer Space Width affects readability among the texts. Among the factors that make up the paragraph, Outer Space Width by letter size, letter size, letter spacing, letter spacing, and letter shape was composed of Yoon Myung-jo 110-160 and Inner Space Width of Yoon Myung-jo 110 was the widest at 26.83%. [Experiment 2] In-depth interviews with experts were conducted to derive factors and evaluation indicators constituting the inner space. Inner Space Width is evaluated as a complex factor that affects preference and fatigue, and is related to understanding and speed. This study empirically reviewed the effect on readability using the concept of Inner Space Width in the absence of existing research on Hangul-shaped fast space, and is expected to be actively used in the development of fonts in the future.

A study of quantitative correlation between hangul font and the emotional expressions (한글 글꼴과 감성 표현어 사이의 수량적 상호관계에 관한 연구)

  • Lee, Jeong-Mi
    • 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.

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Study on Methods of Digitalization of Older Books Using PDF (PDF를 활용한 고문헌의 원문디지털화 방안에 대한 고찰)

  • Lee, Sang-Yong
    • Journal of the Korean Society for Library and Information Science
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    • v.34 no.1
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    • pp.133-153
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    • 2000
  • This article is a study on methods of digitalization for eider books using PDF (Portable Document Format) supported by Acrobat 4.0 which was introduced in April of 1999. Acrobat 3.0 has caused many problems in supporting Korean language or Hangul. However, the revised 4.0 version of this software made the conversion of Korean, Japanese and Chinese language possible due to its support by the multi-language fonts. Therefore, it Is possible to converse and to edit the text file of older books written with Hangul. The Acrobat Reader, the viewer of PDF, can be downloaded for free from its website. However, the digitalized text of older books by PDF has still some problems. But the user can retrieve the text of older books from the Internet easily.

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A Keyword Matching for the Retrieval of Low-Quality Hangul Document Images

  • Na, In-Seop;Park, Sang-Cheol;Kim, Soo-Hyung
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.1
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    • pp.39-55
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    • 2013
  • It is a difficult problem to use keyword retrieval for low-quality Korean document images because these include adjacent characters that are connected. In addition, images that are created from various fonts are likely to be distorted during acquisition. In this paper, we propose and test a keyword retrieval system, using a support vector machine (SVM) for the retrieval of low-quality Korean document images. We propose a keyword retrieval method using an SVM to discriminate the similarity between two word images. We demonstrated that the proposed keyword retrieval method is more effective than the accumulated Optical Character Recognition (OCR)-based searching method. Moreover, using the SVM is better than Bayesian decision or artificial neural network for determining the similarity of two images.

A study on the combination algorithm of Korean alphabet to develope the Hangul fonts for computers (컴퓨터형 한글 서체 개발을 위한 자소 결합 알고리즘 연구)

  • Kim, Yun-Sik;Eom, Jeong-Kook;Song, Man-Suk
    • Annual Conference on Human and Language Technology
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    • 1998.10c
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    • pp.341-344
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    • 1998
  • 컴퓨터 상에서 모든 한글 음절을 구현하고자 하면 현대한글 11,172음절의 완성형 코드나 조합형 코드를 사용해야 하는데 조합형의 경우 글자의 미려도가 떨어지는 문제성이 발생되므로 자소 벌수를 늘려 그 문제점을 보완하려는 연구가 진행되어 왔다. 이는 메모리 및 코드처리상 비효율적인 요소가 많으므로 본 논문에서는 자소는 초 중 종성 각각 6벌씩만 제작한 후 자소의 어울림에 따라 자소의 이동과 변형으로 그 미려도를 추구할 수 있는 방안을 제시하고자 한다.

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An ergonomic study on the car license plate in Korea (우리나라 자동차 번호판의 인간공학적 개선에 관한 연구)

  • 박영택;강현준
    • Journal of the Ergonomics Society of Korea
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    • v.14 no.2
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    • pp.15-24
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    • 1995
  • The purpose of this study is to provide ergonomic research data for the redesign of the car license plate in Korea. Several alternatives having various combinations of fonts, stroke-width ratios, color contrasts, and arrays were considered in order to find the best one in terms of the reading-distance and the misreading-rate. Experiments investigating the reading-distance, misreading-rates were conducted. In addition, the alternatives were tested in a real driving situation. The results can be summarized as follows : The typography having mixed type numeric forms with quasi-Gothic and NAMEL, stroke-width ratio of 1:7 .approx. 1: 8, the black on yellow contrast showed a good reading-distance. The array with Hangul(showing territorial office and use-sign) at the upper row and 6 mumbers ( showing car class-sign and serial number) at the lower row showed relatively low misreading-rate.

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