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딥러닝 학습을 이용한 한글 글꼴 자동 제작 시스템에서 글자 쌍의 매핑 기준 평가

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dc.contributor.author전자연-
dc.contributor.author지영서-
dc.contributor.author박동연-
dc.contributor.author임순범-
dc.date.available2021-02-22T05:23:36Z-
dc.date.created2021-02-02-
dc.date.issued2020-07-
dc.identifier.issn1229-7771-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1347-
dc.description.abstractHangul is a language that is composed of initial, medial, and final syllables. It has 11,172 characters. For this reason, the current method of designing all the characters by hand is very expensive and time-consuming. In order to solve the problem, this paper proposes an automatic Hangul font generation system and evaluates the standards for mapping Hangul characters to produce an effective automated Hangul font generation system. The system was implemented using character generation engine based on deep learning CycleGAN. In order to evaluate the criteria when mapping characters in pairs, each criterion was designed based on Hangul structure and character shape, and the quality of the generated characters was evaluated. As a result of the evaluation, the standards designed based on the Hangul structure did not affect the quality of the automated Hangul font generation system. On the other hand, when tried with similar characters, the standards made based on the shape of Hangul characters produced better quality characters than when tried with less similar characters. As a result, it is better to generate automated Hangul font by designing a learning method based on mapping characters in pairs that have similar character shapes-
dc.language한국어-
dc.language.isoko-
dc.publisher한국멀티미디어학회-
dc.title딥러닝 학습을 이용한 한글 글꼴 자동 제작 시스템에서 글자 쌍의 매핑 기준 평가-
dc.title.alternativeEvaluation of Criteria for Mapping Characters Using an Automated Hangul Font Generation System based on Deep Learni-
dc.typeArticle-
dc.contributor.affiliatedAuthor임순범-
dc.identifier.doi10.9717/kmms.2020.23.7.850-
dc.identifier.bibliographicCitation멀티미디어학회논문지, v.23, no.7, pp.850 - 861-
dc.relation.isPartOf멀티미디어학회논문지-
dc.citation.title멀티미디어학회논문지-
dc.citation.volume23-
dc.citation.number7-
dc.citation.startPage850-
dc.citation.endPage861-
dc.type.rimsART-
dc.identifier.kciidART002611788-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorAutomated Hangul Font Generation System-
dc.subject.keywordAuthorFont Generation Using CycleGAN-
dc.subject.keywordAuthorEvaluation of Mapping Characters-
dc.subject.keywordAuthorCompleteness of Generated Characters-
dc.subject.keywordAuthorSimilarity of Characters Style-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09410910-
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