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위치이동에 무관한 지문인식 정합 알고리즘에 관한 연구

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dc.contributor.author김은희-
dc.contributor.author김성원-
dc.contributor.author김재민-
dc.date.accessioned2022-04-11T03:40:56Z-
dc.date.available2022-04-11T03:40:56Z-
dc.date.issued2002-
dc.identifier.issn1229-6287-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/27098-
dc.description.abstract- This paper presents a new matching algorithm for fingerprint recognition, which is robust to image translation. The basic idea of this paper is to estimate the translation vector of an input fingerprint image using N minutiae at which the gradient of the ridge direction field is large. Using the estimated translation vector we select minutiae irrelevant to the translation. We experimentally prove that the presented algorithm results in good performance even if there are large translation and pseudo-minutiae.-
dc.format.extent8-
dc.publisher대한전기학회-
dc.title위치이동에 무관한 지문인식 정합 알고리즘에 관한 연구-
dc.title.alternativeA Study on the Translation Invariant Matching Algorithm for Fingerprint Recognition-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation전기학회논문지 D권, v.51, no.2, pp 61 - 68-
dc.citation.title전기학회논문지 D권-
dc.citation.volume51-
dc.citation.number2-
dc.citation.startPage61-
dc.citation.endPage68-
dc.identifier.kciidART000905372-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorfingerprint recognition-
dc.subject.keywordAuthorrobust to image translation-
dc.subject.keywordAuthorminutiae-
dc.subject.keywordAuthorpseudo-minutiae.-
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College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles
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