• Title/Summary/Keyword: 한글 글꼴

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A survey on relative significance of readability factors through conjoint analysis (컨조인트 분석을 사용한 가독성 요인들의 상대적 중요도 조사)

  • Yi, Joon-Suk;Jin, Young-Sun
    • Annual Conference on Human and Language Technology
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    • 1997.10a
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    • pp.167-172
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    • 1997
  • 효율적인 정보전달이란 글꼴 자체의 모양뿐만 아니라 본문 배치에 함께 사용되는 여러 요인에 의해 영향을 받는다. 본문의 가독성에 대한 연구는 주로 글자모양, 글줄길이, 글자크기, 글줄간격 등을 조작하여 읽기 시간을 측정한 것이거나 시각적 이미지 및 선호도 조사였다. 본 논문에서는 컨조인트 분석을 사용하여 가독성에 영향을 미치는 요인들이 본문 선호도판단에 미치는 상대적 중요도를 살펴보았다. 글자넓이가 가장 중요한 요인이었고, 글자크기, 글자모양, 글줄간격, 글자간격 순서로 나타났다. 글줄길이는 그다지 중요하지 않은 것으로 나타났다. 이런 결과는 전달수단으로서의 기능적인 한글 타이포그라피에서 인간의 선호를 어떻게 고려해야 하는지에 대한 이해에 도움을 줄 것이다.

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Shape Property Study of Hangul Font for Font Classification (글꼴 분류를 위한 한글 글꼴의 모양 특성 연구)

  • Kim, Hyun-Young;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.20 no.9
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    • pp.1584-1595
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    • 2017
  • Each cultural community has developed a variety of fonts to express their own language and characters. Hangul has also diversified its font shapes through changing the composition ratio and look of the consonants and vowels. Rather, thanks to the variety of these fonts, a considerable amount of time and effort must be devoted to the selection of a specific font shape. This is related to the fact that the current Hangul service and classification system process the font only with its name or the name of the manufacturer. It means that there is no consensus about the font shape classification system for Hangul. In this study, we propose a shape property set that can be a basis for classifying Hangul fonts. The font shape property set was generated by performing statistical analysis with features which have been studied by the font design experts and was verified through questionnaire using representative fonts based on the classification scheme defined by the Hangul font design classification system standard. This study is meaningful in that it is a study on shape classification properties of K-means and PCA statistical techniques based on font data rather than design field study.

The design and implementation of automatic translation system for hangul's romanization (국어 로마자 표기 자동 변환 시스템 설계 및 구현)

  • 김홍섭
    • KSCI Review
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    • v.2 no.1
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    • pp.45-54
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    • 1995
  • This study is, by assigning ASCII codes hardly used to Bandaljum(ˇ) and making the fonts of Korean-English character mode, to design the way of converting automatically a word, a sentence or a document of korean into phonetic letters by applying the algorismized phonological principles inputted as a letter string, even though a user do not konw the basic principles of the usage of Korean-to-Romanization notation rule. This is designed so that it may be possible to turn into a mechanical code with reference to the corresponding character in the table of Korean-to-Romanization notation rule that is the currently used standard proposition of the government. Consequently this program makes it user more convenient in the manipulations of special case words, the assistance of colorful-screen or pull-down, pop-up menu and the adoptation of utilizable mouse works for a user convienency. This program could be installed in a single diskette of 5.25"(2HD) and be made in C programming language to mplement various font, expansion or condense of font, alternative printing.ting.

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Typeface Design 'Arita' for Typographic Identity (타이포그래픽 아이덴티티를 위한 글자꼴 '아리따')

  • Ahn, Sang-Soo;Lee, Yong-Je;Han, Jae-Joon
    • Archives of design research
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    • v.19 no.6 s.68
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    • pp.33-38
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    • 2006
  • The development of the typeface 'Arita' presents a method and its following results for a corporate typographic identity. Amore pacific established a strategy for a typographic identity as for their high quality corporate culture and as a first step for it was to develop their corporate typeface 'Arita'. The typeface 'Arita' which pursues sharing and accompanying was developed to be used in the body text to enhance the function of the typography. What was needed to develop this typeface for Amore pacific was first, understanding of the corporation, and second, vision to present new direction for a typeface and its appropriate supervision, and third, ability in designing. Therefore, under the leading of Hong-ik University's meta design research institute, the typeface 'Arita' was created by in collaboration with Seoul women's university's modeling research institute and the typeface design specialty company, type space and the design company, Ahn-graphics. There are two kinds of weight in 'Arita' typeface, one is normal 'AritaM' and the other is semibold 'AritaSB'. 'Arita' is produced into TrueTypeFont(TTF) for Windows Operating System and OpenTypeFont(OTF) for Macintosh Operating System.

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Recognition of Printed Hangul Text Using Circular Pattern Vectors (원형 패턴 벡터를 이용한 인쇄체 한글 인식)

  • Jeong, Ji-Ho;Choe, Tae-Yeong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.3
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    • pp.269-281
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    • 2001
  • This thesis deals with a novel font-dependent Hangul recognition algorithm invariant to position translation, scaling, and rotation using circular pattern vectors. The proposed algorithm removes noise from input letters using binary morphology and generates the circular pattern vectors. The generated circular pattern vectors represent spatial distributions on several concentric circles from the center of gravity in a given letter. Then the algorithm selects the letter minimizing the distance between the reference vectors and the generated circular pattern vectors. In order to estimate performances of the proposed algorithm, the completed Batang Hangul 2,350 letters were used as test images with scaling and rotational transformations. Experimental results show that the proposed algorithm are better than conventional algorithm using the ring projection in the recognition rates of Hangul letters with scaling and rotational transformation.

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Legible and Preferred Korean Sizes for Various Colors and Fonts (다양한 색상과 글꼴에 대한 한글의 식별 및 선호 크기 분석)

  • Jung, Kihyo
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.1
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    • pp.59-63
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    • 2015
  • A design guideline about legible and preferred Korean character sizes is necessary to provide better visual information in a group-view display. The present study examined the legible and preferred Korean character sizes by an experiment employing eight background-font colors and four representative font types (Gulim, Ming, Gothic, and Batang). Forty subjects (male : 20 and female : 20) in their 20s were recruited for the experiment. The legible and preferred sizes were determined based on the method of limits, one of psychological approaches. The results showed that the legible and preferred sizes increased as the contrast between background and font colors decreased. In addition, the legible and preferred sizes for Gulim were significantly smaller than those of the other font types. It is expected that the present study may contribute to providing better visual information in a group view display.

Automatic Extraction of Hangul Stroke Element Using Faster R-CNN for Font Similarity (글꼴 유사도 판단을 위한 Faster R-CNN 기반 한글 글꼴 획 요소 자동 추출)

  • Jeon, Ja-Yeon;Park, Dong-Yeon;Lim, Seo-Young;Ji, Yeong-Seo;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.953-964
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    • 2020
  • Ever since media contents took over the world, the importance of typography has increased, and the influence of fonts has be n recognized. Nevertheless, the current Hangul font system is very poor and is provided passively, so it is practically impossible to understand and utilize all the shape characteristics of more than six thousand Hangul fonts. In this paper, the characteristics of Hangul font shapes were selected based on the Hangul structure of similar fonts. The stroke element detection training was performed by fine tuning Faster R-CNN Inception v2, one of the deep learning object detection models. We also propose a system that automatically extracts the stroke element characteristics from characters by introducing an automatic extraction algorithm. In comparison to the previous research which showed poor accuracy while using SVM(Support Vector Machine) and Sliding Window Algorithm, the proposed system in this paper has shown the result of 10 % accuracy to properly detect and extract stroke elements from various fonts. In conclusion, if the stroke element characteristics based on the Hangul structural information extracted through the system are used for similar classification, problems such as copyright will be solved in an era when typography's competitiveness becomes stronger, and an automated process will be provided to users for more convenience.

A study of improve vectorising technique on the internet (인터넷에서의 개선된 벡터라이징 기법에 관한 연구)

  • 김용호;이윤배
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.2
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    • pp.271-281
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    • 2002
  • Currently, most web designers guarante high quality using bitmap graphics as fixed font size, but that has defects about file size and flexibility. Especially, to provide high quality of banner and advertise characters, after you should use a bitmap edit program, and then we should follow the method we add that program to HTML documents as bitmap data. In this study, as I show a couple of new tags in front of HTML documents, I show methods which can be presented diverse effects. When text information are stored, because we print out a screen with simple control points and outside information, it can be possible for us to express the same quality of Hangul characters like printed documents in a web browser. Regardless of the second class of platform, we can make it possible the character expression with exact character expressions and diverse effects.

Pattern Classification Model using LVQ Optimized by Fuzzy Membership Function (퍼지 멤버쉽 함수로 최적화된 LVQ를 이용한 패턴 분류 모델)

  • Kim, Do-Tlyeon;Kang, Min-Kyeong;Cha, Eui-Young
    • Journal of KIISE:Software and Applications
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    • v.29 no.8
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    • pp.573-583
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    • 2002
  • Pattern recognition process is made up of the feature extraction in the pre-processing, the pattern clustering by training and the recognition process. This paper presents the F-LVQ (Fuzzy Learning Vector Quantization) pattern classification model which is optimized by the fuzzy membership function for the OCR(Optical Character Recognition) system. We trained 220 numeric patterns of 22 Hangul and English fonts and tested 4840 patterns whose forms are changed variously. As a result of this experiment, it is proved that the proposed model is more effective and robust than other typical LVQ models.

Automatic translation system for hangul's romanization Based on the World Wide Web (웹 기반하의 국어의 로마자 전사 표기 자동 변환 시스템)

  • 김홍섭
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.4
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    • pp.108-114
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    • 2002
  • After automatic translation system for hangul's romanization based on the World Wide Web converting korean-word, sentence, document to Transliteration letters by applying algorithm based phonological principles. even though a user do not know the basic principles of the usage of Korean-to-Romanization notations, It refers to corresponding character table that has been currently adopted the authority's standard proposition for Korean-to-Romanization notation rule concurrently, add to make possible to convert a machinized code as well. It provides font for toggling Korean-English mode, insert-edit mode by assigning ASCII codes and Unicode are hardly used to them. This program could be made in C++ progamming language and Unified Modeling Language to implement various font. font-expanding and condensing. alternative printing.

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