LivDet2023 -- Fingerprint Liveness Detection Competition: Advancing Generalization

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). This edition, LivDet2023, proposed two challenges, Liveness Detection in Action an...

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Bibliographic Details
Published in:arXiv.org 2023-09
Main Authors: Micheletto, Marco, Casula, Roberto, Orrù, Giulia, Carta, Simone, Concas, Sara, La Cava, Simone Maurizio, Fierrez, Julian, Marcialis, Gian Luca
Format: Article
Language:English
Subjects:
Algorithms
Competition
Fingerprints
System effectiveness
Online Access:Get full text
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Summary: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). This edition, LivDet2023, proposed two challenges, Liveness Detection in Action and Fingerprint Representation, to evaluate the efficacy of PAD embedded in verification systems and the effectiveness and compactness of feature sets. A third, hidden challenge is the inclusion of two subsets in the training set whose sensor information is unknown, testing participants ability to generalize their models. Only bona fide fingerprint samples were provided to participants, and the competition reports and assesses the performance of their algorithms suffering from this limitation in data availability.
ISSN:2331-8422