Liveness Detection Competition -- Noncontact-based Fingerprint
  Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)
Sandip Purnapatra Humaira Rezaie Bhavin Jawade Yu Liu Yue Pan Luke Brosell Mst Rumana Sumi Lambert Igene Alden Dimarco Srirangaraj Setlur Soumyabrata Dey Stephanie Schuckers Marco Huber Jan Niklas Kolf Meiling Fang Naser Damer Banafsheh Adami Raul Chitic Karsten Seelert Vishesh Mistry Rahul Parthe Umit Kacar
Liveness Detection (LivDet) is an international competition series open to
academia and industry with the objec-tive to assess and report state-of-the-art
in Presentation Attack Detection (PAD). LivDet-2023 Noncontact Fingerprint is
the first edition of the noncontact fingerprint-based PAD competition for
algorithms and systems. The competition serves as an important benchmark in
noncontact-based fingerprint PAD, offering (a) independent assessment of the
state-of-the-art in noncontact-based fingerprint PAD for algorithms and
systems, and (b) common evaluation protocol, which includes finger photos of a
variety of Presentation Attack Instruments (PAIs) and live fingers to the
biometric research community (c) provides standard algorithm and system
evaluation protocols, along with the comparative analysis of state-of-the-art
algorithms from academia and industry with both old and new android
smartphones. The winning algorithm achieved an APCER of 11.35% averaged overall
PAIs and a BPCER of 0.62%. The winning system achieved an APCER of 13.0.4%,
averaged over all PAIs tested over all the smartphones, and a BPCER of 1.68%
over all smartphones tested. Four-finger systems that make individual
finger-based PAD decisions were also tested. The dataset used for competition
will be available 1 to all researchers as per data share protocol