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Physical object authentication with correlated camera noise

dc.contributor.authorBeekhof, Fokko P.
dc.contributor.authorVoloshynovskiy, Sviatoslav
dc.contributor.authorDiephuis, Maurits
dc.contributor.authorFarhadzadeh, Farzad
dc.contributor.editorSaake, Gunter
dc.contributor.editorHenrich, Andreas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorNeumann, Thomas
dc.contributor.editorKöppen, Veit
dc.date.accessioned2018-10-24T10:44:48Z
dc.date.available2018-10-24T10:44:48Z
dc.date.issued2013
dc.description.abstractIn this paper, we address the problem of physical object authentication based on surface microstructure images. The authentication is based on digital content fingerprints computed from the microstructure images. We analyze the impact of camera distortions which follow additive correlated Gaussian noise. The optimal decision rule is derived and the performance is analyzed in the direct and transformed domain. The theoretical derivations are supported by experimental results obtained for the FAMOS dataset.en
dc.identifier.isbn978-3-88579-610-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17449
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-216
dc.titlePhysical object authentication with correlated camera noiseen
dc.typeText/Conference Paper
gi.citation.endPage74
gi.citation.publisherPlaceBonn
gi.citation.startPage65
gi.conference.date11.-12. März 2013
gi.conference.locationMagdeburg
gi.conference.sessiontitleRegular Research Papers

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