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글꼴 분류를 위한 한글 글꼴의 모양 특성 연구

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dc.contributor.author김현영-
dc.contributor.author임순범-
dc.date.available2021-02-22T05:33:30Z-
dc.date.issued2017-09-
dc.identifier.issn1229-7771-
dc.identifier.issn2384-0102-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2263-
dc.description.abstractEach 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.-
dc.format.extent12-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국멀티미디어학회-
dc.title글꼴 분류를 위한 한글 글꼴의 모양 특성 연구-
dc.title.alternativeShape Property Study of Hangul Font for Font Classification-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.9717/kmms.2017.20.9.1584-
dc.identifier.bibliographicCitation멀티미디어학회논문지, v.20, no.9, pp 1584 - 1595-
dc.citation.title멀티미디어학회논문지-
dc.citation.volume20-
dc.citation.number9-
dc.citation.startPage1584-
dc.citation.endPage1595-
dc.identifier.kciidART002265962-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorProperty Analysis-
dc.subject.keywordAuthorHangul Typeface-
dc.subject.keywordAuthorFont Classification Property-
dc.subject.keywordAuthorFont Design Characteristics-
dc.subject.keywordAuthorClustering-
dc.identifier.urlhttp://koreascience.or.kr/article/JAKO201730049611066.page-
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