Logo des Repositoriums
 

Iris Recognition in Postmortem Enucleated Eyes

dc.contributor.authorSaripalle, Sashi K.
dc.contributor.authorMcLaughlin, Adam
dc.contributor.authorDerakhshani, Reza
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.accessioned2020-09-16T08:25:43Z
dc.date.available2020-09-16T08:25:43Z
dc.date.issued2020
dc.description.abstractThis paper presents a comprehensive multispectral study of iris recognition on postmortem enucleated eyes over a period of three days. An off the shelf iris recognition methodology is employed to analyze the biometric capability of iris in the post mortem setting.We observed that iris patterns of enucleated eyes can provide biometric matches with no false accepts for up to 164 hours after death, albeit with high false rejection rates. We also present our observations on the effects of the environment and other confounding factors that may affect the performance of postmortem iris recognition, with recommendations for rehydration of specimen to regain postmortem biometric utility.en
dc.identifier.isbn978-3-88579-700-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34320
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.subjectPostmortem biometrics
dc.subjectiris recognition
dc.subjectbiometrics
dc.subjectforensics
dc.titleIris Recognition in Postmortem Enucleated Eyesen
dc.typeText/Conference Paper
gi.citation.endPage137
gi.citation.publisherPlaceBonn
gi.citation.startPage129
gi.conference.date16.-18. September 2020
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
BIOSIG_2020_paper_27_update.pdf
Größe:
1.15 MB
Format:
Adobe Portable Document Format