Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021

no code implementations • 15 Feb 2022 • Marco Micheletto, Giulia Orrù, Roberto Casula, David Yambay, Gian Luca Marcialis, Stephanie C. Schuckers

Fingerprint authentication systems are highly vulnerable to artificial reproductions of fingerprint, called fingerprint presentation attacks.

Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures

no code implementations • 8 Apr 2021 • Richard Plesh, Keivan Bahmani, Ganghee Jang, David Yambay, Ken Brownlee, Timothy Swyka, Peter Johnson, Arun Ross, Stephanie Schuckers

This paper demonstrates the viability of utilizing a sensor with time-series and color-sensing capabilities to improve the robustness of a traditional fingerprint sensor and introduces a comprehensive fingerprint dataset with over 36, 000 image sequences and a state-of-the-art set of spoofing techniques.

Feature Engineering General Classification +2

Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition

no code implementations • 1 Sep 2020 • Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin Bowyer, Adam Czajka, Stephanie Schuckers, Juan Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross

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 (PAD).

Benchmarking