Human Iris Recognition in Post-mortem Subjects: Study and Database

Mateusz Trokielewicz , Adam Czajka , Piotr Maciejewicz

Abstract

This paper presents a unique study of post-mortem human iris recognition and the first known to us database of near-infrared and visible-light iris images of deceased humans collected up to almost 17 days after death. We used four different iris recognition methods to analyze the dynamics of iris quality decay in short-term comparisons (samples collected up to 60 hours after death) and long-term comparisons (for samples acquired up to 407 hours after demise). This study shows that post-mortem iris recognition is possible and occasionally works even 17 days after death. These conclusions contradict a promulgated rumor that iris is unusable shortly after decease. We make this dataset publicly available to let others verify our findings and to research new aspects of this important and unfamiliar topic. We are not aware of any earlier papers offering post-mortem human iris images and such comprehensive analysis employing four different matchers.
Author Mateusz Trokielewicz IAiIS - [Research and Academic Computer Network (NASK)]
Mateusz Trokielewicz,,
- The Institute of Control and Computation Engineering
- Naukowa i Akademicka Sieć Komputerowa
, Adam Czajka IAiIS - Research and Academic Computer Network (NASK)
Adam Czajka,,
- The Institute of Control and Computation Engineering
, Piotr Maciejewicz
Piotr Maciejewicz,,
-
Pages1-6
Publication size in sheets0.5
Book 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS) , 2016, IEEE, ISBN 978-1-4673-9733-9, 399 p.
DOIDOI:10.1109/BTAS.2016.7791175
URL http://ieeexplore.ieee.org/document/7791175/
Languageen angielski
File
Trokielewicz i in. BTAS2016.pdf (file archived - login or check accessibility on faculty) Trokielewicz i in. BTAS2016.pdf 783.71 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 02-06-2017, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, 02-06-2017, BookChapterMatConf
Citation count*5 (2018-02-21)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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