TY - GEN
T1 - Liveness Detection Competition - Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)
AU - Purnapatra, Sandip
AU - Rezaie, Humaira
AU - Jawade, Bhavin
AU - Liu, Yu
AU - Pan, Yue
AU - Brosell, Luke
AU - Sumi, Mst Rumana
AU - Igene, Lambert
AU - Dimarco, Alden
AU - Setlur, Srirangaraj
AU - Dey, Soumyabrata
AU - Schuckers, Stephanie
AU - Huber, Marco
AU - Kolf, Jan Niklas
AU - Fang, Meiling
AU - Damer, Naser
AU - Adami, Banafsheh
AU - Chitic, Raul
AU - Seelert, Karsten
AU - Mistry, Vishesh
AU - Parthe, Rahul
AU - Kacar, Umit
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Liveness Detection (LivDet) is an international competition series open to academia and industry with the objective 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 over all 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 available1, to all researchers as per data share protocol.1https://noncontactfingerprint2023.1ivdet.org/index.php
AB - Liveness Detection (LivDet) is an international competition series open to academia and industry with the objective 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 over all 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 available1, to all researchers as per data share protocol.1https://noncontactfingerprint2023.1ivdet.org/index.php
UR - https://www.scopus.com/pages/publications/85187545082
U2 - 10.1109/IJCB57857.2023.10448970
DO - 10.1109/IJCB57857.2023.10448970
M3 - Conference contribution
AN - SCOPUS:85187545082
T3 - 2023 IEEE International Joint Conference on Biometrics, IJCB 2023
BT - 2023 IEEE International Joint Conference on Biometrics, IJCB 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Joint Conference on Biometrics, IJCB 2023
Y2 - 25 September 2023 through 28 September 2023
ER -