30 citations · 212 across the 22 of their papers we have counts for
27 papers
Synthetic Iris Image Databases and Identity Leakage: Risks and Mitigation Strategies
Ada Sawilska, Mateusz Trokielewicz
This paper presents a comprehensive overview of iris image synthesis methods, which can alleviate the issues associated with gathering large, diverse datasets of biometric data fro…
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…
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples
Jeffery Kinnison, Mateusz Trokielewicz, Camila Carballo +2
Subject matching performance in iris biometrics is contingent upon fast, high-quality iris segmentation. In many cases, iris biometrics acquisition equipment takes a number of imag…
Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks
Daniel Kerrigan, Mateusz Trokielewicz, Adam Czajka +1
This paper offers three new, open-source, deep learning-based iris segmentation methods, and the methodology how to use irregular segmentation masks in a conventional Gabor-wavelet…
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…
Thermal Features for Presentation Attack Detection in Hand Biometrics
Ewelina Bartuzi, Mateusz Trokielewicz
This paper proposes a method for utilizing thermal features of the hand for the purpose of presentation attack detection (PAD) that can be employed in a hand biometrics system's pi…
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…
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera
Mateusz Trokielewicz
This paper delivers a new database of iris images collected in visible light using a mobile phone's camera and presents results of experiments involving existing commercial and ope…
Iris and periocular recognition in arabian race horses using deep convolutional neural networks
Mateusz Trokielewicz, Mateusz Szadkowski
This paper presents a study devoted to recognizing horses by means of their iris and periocular features using deep convolutional neural networks (DCNNs). Identification of race ho…
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…
Linear regression analysis of template aging in iris biometrics
Mateusz Trokielewicz
The aim of this work is to determine how vulnerable different iris coding methods are in relation to biometric template aging phenomenon. This is considered to be particularly impo…
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…
MobiBits: Multimodal Mobile Biometric Database
Ewelina Bartuzi, Katarzyna Roszczewska, Mateusz Trokielewicz +1
This paper presents a novel database comprising representations of five different biometric characteristics, collected in a mobile, unconstrained or semi-constrained setting with t…
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…
Data-Driven Segmentation of Post-mortem Iris Images
Mateusz Trokielewicz, Adam Czajka
This paper presents a method for segmenting iris images obtained from the deceased subjects, by training a deep convolutional neural network (DCNN) designed for the purpose of sema…
Cross-spectral Iris Recognition for Mobile Applications using High-quality Color Images
Mateusz Trokielewicz, Ewelina Bartuzi
With the recent shift towards mobile computing, new challenges for biometric authentication appear on the horizon. This paper provides a comprehensive study of cross-spectral iris…