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Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging

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dc.contributor.authorKeilbach, Pascal
dc.contributor.authorKolberg, Jascha
dc.contributor.authorGomez-Barrero, Marta
dc.contributor.authorBusch, Christoph
dc.contributor.authorLangweg, Hanno
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2019-06-17T10:00:28Z
dc.date.available2019-06-17T10:00:28Z
dc.date.issued2018
dc.description.abstractWith the increased deployment of biometric authentication systems, some security concerns have also arisen. In particular, presentation attacks directed to the capture device pose a severe threat. In order to prevent them, liveness features such as the blood flow can be utilised to develop presentation attack detection (PAD) mechanisms. In this context, laser speckle contrast imaging (LSCI) is a technology widely used in biomedical applications in order to visualise blood flow. We therefore propose a fingerprint PAD method based on textural information extracted from preprocessed LSCI images. Subsequently, a support vector machine is used for classification. In the experiments conducted on a database comprising 32 different artefacts, the results show that the proposed approach classifies correctly all bona fides. However, the LSCI technology experiences difficulties with thin and transparent overlay attacks.en
dc.identifier.isbn978-3-88579-676-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23807
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-282
dc.subjectPresentation Attack Detection
dc.subjectLaser Speckle Contrast Imaging
dc.subjectLSCI
dc.subjectFingerprint
dc.titleFingerprint Presentation Attack Detection using Laser Speckle Contrast Imagingen
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