Iris Recognition After Death
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Abstract (arXiv)
This paper presents a comprehensive study of post-mortem human iris recognition carried out for 1,200 near-infrared and 1,787 visible-light samples collected from 37 deceased individuals kept in the mortuary conditions. We used four independent iris recognition methods (three commercial and one academic) to analyze genuine and impostor comparison scores and check the dynamics of iris quality decay over a period of up to 814 hours after death. This study shows that post-mortem iris recognition may be close-to-perfect approximately 5 to 7 hours after death and occasionally is still viable even 21 days after death. These conclusions contradict the statements present in past literature that the iris is unusable as a biometrics shortly after death, and show that the dynamics of post-mortem changes to the iris that are important for biometric identification are more moderate than previously hypothesized. The paper contains a thorough medical commentary that helps to understand which post-mortem metamorphoses of the eye may impact the performance of automatic iris recognition. We also show that post-mortem iris recognition works equally well for images taken in near-infrared and when the red channel of visible-light sample is used. However, cross-wavelength matching presents significantly worse performance. This paper conforms to reproducible research and the database used in this study is made publicly available to facilitate research of post-mortem iris recognition. To our knowledge, this paper offers the most comprehensive evaluation of post-mortem iris recognition and the largest database of post-mortem iris images.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Apr 2018.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 2; 2024: 2; 2025: 2; 2026: 3.
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- 2022Deep Learning for Iris Recognition: A Surveycited by 25
- 2022Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognitioncited by 11
- 2021Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognitioncited by 8
- 2023Forensic Iris Image Synthesiscited by 5
- 2022DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformationcited by 4
- 2023Deep Learning for Iris Recognition: A Reviewcited by 4
- 2024Post-Mortem Human Iris Segmentation Analysis with Deep Learningcited by 2
- 2025Iris Recognition for Infantscited by 2
- 2025Synthetic Iris Image Databases and Identity Leakage: Risks and Mitigation Strategiescited by 1
- 2026Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognitioncited by 1
- 2024Forensic Iris Image-Based Post-Mortem Interval Estimationcited by 0
- 2026Generalist Multimodal LLMs Gain Biometric Expertise via Human Saliencecited by 0
- 2026Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition20 May 2026
- 2026Beyond Mortality: Advancements in Post-Mortem Iris Recognition through Data Collection and Computer-Aided Forensic Examination27 Mar 2026
- 2026Generalist Multimodal LLMs Gain Biometric Expertise via Human Salience17 Mar 2026
- 2025Synthetic Iris Image Databases and Identity Leakage: Risks and Mitigation Strategies3 Jun 2025
- 2025Iris Recognition for Infants2 Jan 2025
- 2024Post-Mortem Human Iris Segmentation Analysis with Deep Learning6 Aug 2024
- 2024Forensic Iris Image-Based Post-Mortem Interval Estimation15 Apr 2024
- 2023Forensic Iris Image Synthesis7 Dec 2023
- 2023Deep Learning for Iris Recognition: A Review15 Mar 2023
- 2022Deep Learning for Iris Recognition: A Survey12 Oct 2022
- 2022Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition3 Aug 2022
- 2022DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation18 Jul 2022
1 more
- 2022Deep Learning for Iris Recognition: A Surveycited by 25
- 2022Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognitioncited by 11
- 2021Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognitioncited by 8
- 2023Forensic Iris Image Synthesiscited by 5
- 2022DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformationcited by 4
- 2023Deep Learning for Iris Recognition: A Reviewcited by 4
- 2024Post-Mortem Human Iris Segmentation Analysis with Deep Learningcited by 2
- 2025Iris Recognition for Infantscited by 2
- 2025Synthetic Iris Image Databases and Identity Leakage: Risks and Mitigation Strategiescited by 1
- 2026Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognitioncited by 1
- 2024Forensic Iris Image-Based Post-Mortem Interval Estimationcited by 0
- 2026Beyond Mortality: Advancements in Post-Mortem Iris Recognition through Data Collection and Computer-Aided Forensic Examinationcited by 0
- 2026Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition20 May 2026
- 2026Beyond Mortality: Advancements in Post-Mortem Iris Recognition through Data Collection and Computer-Aided Forensic Examination27 Mar 2026
- 2025Synthetic Iris Image Databases and Identity Leakage: Risks and Mitigation Strategies3 Jun 2025
- 2025Iris Recognition for Infants2 Jan 2025
- 2024Post-Mortem Human Iris Segmentation Analysis with Deep Learning6 Aug 2024
- 2024Forensic Iris Image-Based Post-Mortem Interval Estimation15 Apr 2024
- 2023Forensic Iris Image Synthesis7 Dec 2023
- 2023Deep Learning for Iris Recognition: A Review15 Mar 2023
- 2022Deep Learning for Iris Recognition: A Survey12 Oct 2022
- 2022Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition3 Aug 2022
- 2022DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation18 Jul 2022
- 2021Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition1 Dec 2021