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Gait template protection using HMM-UBM

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dc.contributor.authorVan hamme, Tim
dc.contributor.authorArgones Rúa, Enrique
dc.contributor.authorPreuveneers, Davy
dc.contributor.authorJoosen, Wouter
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2019-06-17T10:00:27Z
dc.date.available2019-06-17T10:00:27Z
dc.date.issued2018
dc.description.abstractThis paper presents a hidden Markov model-Universal background model gait authentication system, which is also incorporated into a template protection based on a fuzzy commitment scheme.We show that with limited enrollment data the HMM-UBM system achieves a very competitive equal error rate of 1% using one sensor. The proposed template protection scheme benefits from eigenfeatures coming from multiple Universal background model systems fused with a novel technique that minimizes the bit error rate for genuine attempts. This allows the protected system to achieve a false rejection rate below 5% with an effective key length of 64 bits.en
dc.identifier.isbn978-3-88579-676-4
dc.identifier.pissn1617-5469
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23804
dc.language.isoen
dc.publisherKöllen Druck+Verlag GmbH
dc.relation.ispartofBIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-283
dc.subjectGait authentication
dc.subjectHMM-UBM
dc.subjectprotected templates
dc.titleGait template protection using HMM-UBMen
dc.typeText/Conference Paper
gi.citation.publisherPlaceBonn
gi.conference.date26.-28. September 2018
gi.conference.locationDarmstadt

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P282 - BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group