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Application of affine-based reconstruction to retinal point patterns

dc.contributor.authorSadeghpour, Mahshid
dc.contributor.authorArakala, Arathi
dc.contributor.authorDavis, Stephen A.
dc.contributor.authorHoradam, Kathy J.
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-16T08:25:46Z
dc.date.available2020-09-16T08:25:46Z
dc.date.issued2020
dc.description.abstractInverse biometrics that exploit the information of biometric references from comparison scores can compromise sensitive personal information of the users in biometric recognition systems. One inverse biometric method that has been very successful in regenerating face images applies an affine transformation to model the face recognition algorithm. This method is general and could apply to templates extracted from other biometric characteristics. This research proposes two formats to apply this method to spatial point patterns extracted from retina images and tests its performance on reconstructing such sparse templates. The results show that the quality of the reconstructed retina point pattern templates is lower than would be accepted by the system as mated.en
dc.identifier.isbn978-3-88579-700-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34332
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-306
dc.subjectRetina
dc.subjectBiometric Template Protection
dc.subjectMDS-based Reconstruction
dc.subjectInverse Biometrics
dc.subjectAffine-based Approximation.
dc.titleApplication of affine-based reconstruction to retinal point patternsen
dc.typeText/Conference Paper
gi.citation.endPage238
gi.citation.publisherPlaceBonn
gi.citation.startPage231
gi.conference.date16.-18. September 2020
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleFurther Conference Contributions

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