LivDet2023 -- Fingerprint Liveness Detection Competition: Advancing Generalization
This addresses the problem of fingerprint spoofing for security systems, but it is incremental as it builds on prior competitions without introducing new methods.
The LivDet2023 competition tackled fingerprint liveness detection by evaluating algorithms for generalization and feature compactness, with participants achieving results under data limitations, though no specific performance numbers are provided in the abstract.
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.