no code implementations • 27 Sep 2023 • Marco Micheletto, Roberto Casula, Giulia Orrù, Simone Carta, Sara Concas, Simone Maurizio La Cava, Julian Fierrez, Gian Luca Marcialis
The International Fingerprint Liveness Detection Competition (LivDet) is a biennial event that invites academic and industry participants to prove their advancements in Fingerprint Presentation Attack Detection (PAD).
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.
no code implementations • 23 Aug 2021 • Roberto Casula, Marco Micheletto, Giulia Orrù, Rita Delussu, Sara Concas, Andrea Panzino, Gian Luca Marcialis
The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fingerprint Presentation Attack Detection.
no code implementations • 7 Jul 2020 • Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli
We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems which integrate such liveness algorithms.
no code implementations • 2 May 2019 • Giulia Orrù, Roberto Casula, Pierluigi Tuveri, Carlotta Bazzoni, Giovanna Dessalvi, Marco Micheletto, Luca Ghiani, Gian Luca Marcialis
The International Fingerprint liveness Detection Competition (LivDet) is an open and well-acknowledged meeting point of academies and private companies that deal with the problem of distinguishing images coming from reproductions of fingerprints made of artificial materials and images relative to real fingerprints.
no code implementations • 14 Mar 2018 • Valerio Mura, Giulia Orrù, Roberto Casula, Alessandra Sibiriu, Giulia Loi, Pierluigi Tuveri, Luca Ghiani, Gian Luca Marcialis
Fingerprint Presentation Attack Detection (FPAD) deals with distinguishing images coming from artificial replicas of the fingerprint characteristic, made up of materials like silicone, gelatine or latex, and images coming from alive fingerprints.
