59 citations · 238 across the 49 of their papers we have counts for
5 papers · 1 filter
Haven't I Seen You Before? Assessing Identity Leakage in Synthetic Irises
Patrick Tinsley, Adam Czajka, Patrick Flynn
Generative Adversarial Networks (GANs) have proven to be a preferred method of synthesizing fake images of objects, such as faces, animals, and automobiles. It is not surprising th…
State Of The Art In Open-Set Iris Presentation Attack Detection
Aidan Boyd, Jeremy Speth, Lucas Parzianello +2
Research in presentation attack detection (PAD) for iris recognition has largely moved beyond evaluation in "closed-set" scenarios, to emphasize ability to generalize to presentati…
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces
Aidan Boyd, Patrick Tinsley, Kevin Bowyer +1
Face image synthesis has progressed beyond the point at which humans can effectively distinguish authentic faces from synthetically generated ones. Recently developed synthetic fac…
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition
Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp +2
Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in th…
DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation
Siamul Karim Khan, Patrick Tinsley, Adam Czajka
Nonlinear iris texture deformations due to pupil size variations are one of the main factors responsible for within-class variance of genuine comparison scores in iris recognition.…