The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fingerprint Presentation Attack Detection. The proposed "Liveness Detection in Action" and "Fingerprint representation" challenges were aimed to evaluate the impact of a PAD embedded into a verification system, and the effectiveness and compactness of feature sets for mobile applications. Furthermore, we experimented a new spoof fabrication method that has particularly affected the final results. Twenty-three algorithms were submitted to the competition, the maximum number ever achieved by LivDet.

LivDet 2021 Fingerprint Liveness Detection Competition - Into the unknown

Casula, Roberto;Micheletto, Marco;Orru, Giulia;Delussu, Rita;Concas, Sara;Panzino, Andrea;Marcialis, Gian Luca
2021-01-01

Abstract

The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fingerprint Presentation Attack Detection. The proposed "Liveness Detection in Action" and "Fingerprint representation" challenges were aimed to evaluate the impact of a PAD embedded into a verification system, and the effectiveness and compactness of feature sets for mobile applications. Furthermore, we experimented a new spoof fabrication method that has particularly affected the final results. Twenty-three algorithms were submitted to the competition, the maximum number ever achieved by LivDet.
2021
978-1-6654-3780-6
Support vector machines; Fabrication; Industries; Deep learning; Conferences; Training data; Fingerprint recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/317348
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