30 citations · 124 across the 11 of their papers we have counts for
16 papers
Iris Recognition for Infants
Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz +2
Non-invasive, efficient, physical token-less, accurate and stable identification methods for newborns may prevent baby swapping at birth, limit baby abductions and improve post-nat…
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Priyanka Das, Joseph McGrath, Zhaoyuan Fang +20
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection…
Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper proposes an end-to-end iris recognition method designed specifically for post-mortem samples, and thus serving as a perfect application for iris biometrics in forensics.…
Post-mortem Iris Decomposition and its Dynamics in Morgue Conditions
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
With increasing interest in employing iris biometrics as a forensic tool for identification by investigation authorities, there is a need for a thorough examination and understandi…
Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper proposes the first known to us iris recognition methodology designed specifically for post-mortem samples. We propose to use deep learning-based iris segmentation models…
Iris recognition in cases of eye pathology
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This chapter provides insight on how iris recognition, one of the leading biometric identification technologies in the world, can be impacted by pathologies and illnesses present i…
Database of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a database of iris images collected from disease affected eyes and an analysis related to the influence of ocular diseases on iris recognition reliability. For…
Cataract influence on iris recognition performance
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents the experimental study revealing weaker performance of the automatic iris recognition methods for cataract-affected eyes when compared to healthy eyes. There is…
Post-mortem Human Iris Recognition
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a unique analysis of post-mortem human iris recognition. Post-mortem human iris images were collected at the university mortuary in three sessions separated by…
Assessment of iris recognition reliability for eyes affected by ocular pathologies
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents an analysis of how the iris recognition is impacted by eye diseases and an appropriate dataset comprising 2996 iris images of 230 distinct eyes (including 184 i…
Iris Recognition Under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents the most comprehensive analysis of iris recognition reliability in the occurrence of various biological processes happening naturally and pathologically in the…
Human Iris Recognition in Post-mortem Subjects: Study and Database
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
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 collec…
Implications of Ocular Pathologies for Iris Recognition Reliability
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents an analysis of how iris recognition is influenced by eye disease and an appropriate dataset comprising 2996 images of irises taken from 230 distinct eyes (inclu…
Presentation Attack Detection for Cadaver Iris
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
This paper presents a deep-learning-based method for iris presentation attack detection (PAD) when iris images are obtained from deceased people. Our approach is based on the VGG-1…
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs Machines
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
Post-mortem iris recognition can offer an additional forensic method of personal identification. However, in contrary to already well-established human examination of fingerprints,…
Iris Recognition After Death
Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
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 indiv…