4 papers · 1 filter
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…
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…
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…
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.…