Iris Recognition in Postmortem Enucleated Eyes
Zusammenfassung
This 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.
- Vollständige Referenz
- BibTeX
Saripalle, S. K., McLaughlin, A. & Derakhshani, R.,
(2020).
Iris Recognition in Postmortem Enucleated Eyes.
In:
Brömme, A., Busch, C., Dantcheva, A., Raja, K., Rathgeb, C. & Uhl, A.
(Hrsg.),
BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group.
Bonn:
Gesellschaft für Informatik e.V..
(S. 129-137).
@inproceedings{mci/Saripalle2020,
author = {Saripalle, Sashi K. AND McLaughlin, Adam AND Derakhshani, Reza},
title = {Iris Recognition in Postmortem Enucleated Eyes},
booktitle = {BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group},
year = {2020},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Raja, Kiran AND Rathgeb, Christian AND Uhl, Andreas} ,
pages = { 129-137 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Saripalle, Sashi K. AND McLaughlin, Adam AND Derakhshani, Reza},
title = {Iris Recognition in Postmortem Enucleated Eyes},
booktitle = {BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group},
year = {2020},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Raja, Kiran AND Rathgeb, Christian AND Uhl, Andreas} ,
pages = { 129-137 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| BIOSIG_2020_paper_27_update.pdf | 1.149Mb | Öffnen |
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISBN: 978-3-88579-700-5
ISSN: 1617-5468
Datum: 2020
Sprache:
(en)
(en)
Typ: Text/Conference Paper

