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Efficient database techniques for identification with fuzzy vault templates

dc.contributor.authorBöhm, Christian
dc.contributor.authorFärber, Ines
dc.contributor.authorFries, Sergej
dc.contributor.authorKorte, Ulrike
dc.contributor.authorMerkle, Johannes
dc.contributor.authorOswald, Annahita
dc.contributor.authorSeidl, Thomas
dc.contributor.authorWackersreuther, Bianca
dc.contributor.authorWackersreuther, Peter
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-11-27T09:53:25Z
dc.date.available2018-11-27T09:53:25Z
dc.date.issued2011
dc.description.abstractThe authentication based on biometric information has several advantages compared to solely password-based systems, which has led to a growing interest of industry and of public authorities in biometric-based systems. To meet the high security standards concerning biometric data, template protection systems such as the fuzzy vault are indispensable to maintain the secrecy of the critical information. Several publications have discussed the application of fuzzy vault to fingerprint authentication systems. However, for identification purposes in large databases the fuzzy vault protection of the biometric reference data poses severe efficiency challenges. In this work, we examine and compare the performance of three different approaches to enable the identification based on protected fingerprint minutiae templates also for large databases. All three approaches calculate a prioritization of the database entries exploiting filtering techniques and indexing structures. Based on this prioritization a search performing the complex exact comparison of database and query template is steered and thus will faster find a match.en
dc.identifier.isbn978-3-88579-285-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18533
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2011 – Proceedings of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-191
dc.titleEfficient database techniques for identification with fuzzy vault templatesen
dc.typeText/Conference Paper
gi.citation.endPage126
gi.citation.publisherPlaceBonn
gi.citation.startPage115
gi.conference.date08.-09. September 2011
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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