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Fuzzy vault and template-level fusion applied to a binary fingerprint representation

dc.contributor.authorBringer, Julien
dc.contributor.authorFavre, Mélanie
dc.contributor.authorPelle, Chloé
dc.contributor.authorSaxcé, Hughes De
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2017-07-26T10:54:17Z
dc.date.available2017-07-26T10:54:17Z
dc.date.issued2014
dc.description.abstractThe fuzzy vault is an error-tolerant authentication scheme that stores data in a privacy-preserving way. It allows to hide and retrieve a secret by presenting a set of elements that can slightly differ. This paper aims at applying the scheme to a transformation-invariant binary fingerprint representation. We also show how to perform multi-finger fusion with no extra space requirement and perform fuzzy vault in this case. Our results are quite encouraging with respect to the inherent constraint of decreasing False Accept attacks on template protection schemes in order to ensure higher privacy.en
dc.identifier.isbn978-3-88579-624-4
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-230
dc.titleFuzzy vault and template-level fusion applied to a binary fingerprint representationen
dc.typeText/Conference Paper
gi.citation.endPage242
gi.citation.publisherPlaceBonn
gi.citation.startPage235
gi.conference.date10.-12. September 2014
gi.conference.locationDarmstadt

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