59 citations · 238 across the 49 of their papers we have counts for
6 papers · 1 filter
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…
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation
Suraj Mishra, Peixian Liang, Adam Czajka +2
Convolutional neural networks (CNNs) for biomedical image analysis are often of very large size, resulting in high memory requirement and high latency of operations. Searching for…