activity
20232026
most citedEyePreserve: Identity-Preserving Iris Synthesis

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

When Humans Judge Irises: Pupil Size Normalization as an Aid and Synthetic Irises as a Challenge

Mahsa Mitcheff, Adam Czajka

Iris recognition is a mature biometric technology offering remarkable precision and speed, and allowing for large-scale deployments to populations exceeding a billion enrolled user…

cs.CV2025

Gradient-Guided Exploration of Generative Model's Latent Space for Controlled Iris Image Augmentations

Mahsa Mitcheff, Siamul Karim Khan, Adam Czajka

Developing reliable iris recognition and presentation attack detection methods requires diverse datasets that capture realistic variations in iris features and a wide spectrum of a…

cs.CV2024

Privacy-Safe Iris Presentation Attack Detection

Mahsa Mitcheff, Patrick Tinsley, Adam Czajka

This paper proposes a framework for a privacy-safe iris presentation attack detection (PAD) method, designed solely with synthetically-generated, identity-leakage-free iris images.…

cs.CV2023★ 2 cited

EyePreserve: Identity-Preserving Iris Synthesis

Siamul Karim Khan, Patrick Tinsley, Mahsa Mitcheff +3

Synthesis of same-identity biometric iris images, both for existing and non-existing identities, while preserving the identity across a wide range of pupil sizes, is complex due to…

cs.CV2023

Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition

Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff +18

This paper describes the results of the 2023 edition of the ''LivDet'' series of iris presentation attack detection (PAD) competitions. New elements in this fifth competition inclu…