CVMay 2, 2019

LivDet in Action - Fingerprint Liveness Detection Competition 2019

arXiv:1905.00639v163 citations
Originality Synthesis-oriented
AI Analysis

This work addresses security vulnerabilities in biometric systems for fingerprint authentication, but it is incremental as it builds on prior competitions to explore integration effects.

The paper tackled the problem of distinguishing real fingerprints from artificial reproductions by investigating the impact of integrating liveness detection algorithms with matching systems in the 2019 LivDet competition, where 12 algorithms were submitted, including 8 integrated ones, but no concrete performance numbers were provided in the abstract.

The International Fingerprint liveness Detection Competition (LivDet) is an open and well-acknowledged meeting point of academies and private companies that deal with the problem of distinguishing images coming from reproductions of fingerprints made of artificial materials and images relative to real fingerprints. In this edition of LivDet we invited the competitors to propose integrated algorithms with matching systems. The goal was to investigate at which extent this integration impact on the whole performance. Twelve algorithms were submitted to the competition, eight of which worked on integrated systems.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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