mlsanityData to 14 Oct 2026

LivDet2023 -- Fingerprint Liveness Detection Competition: Advancing Generalization

arXiv 2309.15578 ↗First posted 27 Sep 2023cs.CVcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 5 of its 18 references that are in the map. First posted on arXiv 27 Sep 2023.

Builds on

5 of 18 references.

References · 5

  1. 2019Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifiercited by 13
  2. 2018Fingerprint Presentation Attack Detection: Generalization and Efficiencycited by 9
  3. 2022Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021cited by 5
  4. 2019Analysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systemscited by 4
  5. 2021Fingerprint recognition with embedded presentation attacks detection: are we ready?cited by 3

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.