Show simple item record

dc.contributor.authorSequeira, Ana F.
dc.contributor.authorChen, Lulu
dc.contributor.authorFerryma, James
dc.contributor.authorGaldi, Chiara
dc.contributor.authorChiesa, Valeria
dc.contributor.authorDugelay, Jean-Luc
dc.contributor.authorMaik, Patryk
dc.contributor.authorGmitrowicz, Piotr
dc.contributor.authorSzklarski, Lukasz
dc.contributor.authorPrommegger, Bernhard
dc.contributor.authorKauba, Christof
dc.contributor.authorKirchgasser, Simon
dc.contributor.authorUhl, Andreas
dc.contributor.authorGrudzien, Artur
dc.contributor.authorKowalski, Marcin
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2019-06-17T10:00:23Z
dc.date.available2019-06-17T10:00:23Z
dc.date.issued2018
dc.identifier.isbn978-3-88579-676-4
dc.identifier.issn1617-5469
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/23797
dc.description.abstractThis work presents a novel multimodal database comprising 3D face, 2D face, thermal face, visible iris, finger and hand veins, voice and anthropometrics. This dataset will constitute a valuable resource to the field with its number and variety of biometric traits. Acquired in the context of the EU PROTECT project, the dataset allows several combinations of biometric traits and envisages applications such as border control. Based upon the results of the unimodal data, a fusion scheme was applied to ascertain the recognition potential of combining these biometric traits in a multimodal approach. Due to the variability on the discriminative power of the traits, a leave the n-best out fusion technique was applied to obtain different recognition results.en
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.subjectBiometric recognition
dc.subjectmultimodal
dc.subjectfusion
dc.subjectdatabase
dc.subjectborder control.
dc.titlePROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Controlen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.conference.locationDarmstadt
mci.conference.date26.-28. September 2018


Files in this item

Thumbnail

Show simple item record