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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/577
DC FieldValueLanguage
dc.contributor.authorDuong Kha Dien_US
dc.date.accessioned2020-03-12T17:04:23Z-
dc.date.available2020-03-12T17:04:23Z-
dc.date.issued2015-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/577-
dc.description.abstractFingerprint has been applied in security and identity for over forty years. The development in fingerprint recognition technology also has been developed for very long time. Therefore, the method is strong and effective. The purpose of this thesis is implementing one of technologies in fingerprint recognition to create a program that could identify an unknown fingerprint with an existed database. In the thesis, Poincaré index method is used to extract core point, which is one of the most important singularities of a fingerprint image, and the classify method is described and applied to classify fingerprint images into classes, The method to extract minutiae, a local unique detail of the fingerprint, is explained with detail and support methods such as enhancement method and thinning technique are presented Aik ftitichine method, matching 1:1 and matching 1:N, is the next stage of fingerprint recognition after analyzing a fingerprint image, and will be carefully described with results. After the method is explained and implemented, an evaluation of the program will be made in other to justify how robust is the program and identify the errors and explanation for errors.en_US
dc.language.isoenen_US
dc.publisherVietnamese-German Universityen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectFingerprint recognitionen_US
dc.subjectPoincaréen_US
dc.titleFingerprint recognitionen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Electrical Engineering and Information Technology (EEIT)
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