A spoof or fake is a counterfeit biometric that is used in an attempt to circumvent a biometric sensor. Liveness detection distinguishes between live and fake biometric traits. Liveness detection is based on the principle that additional information can be garnered above and beyond the data procured by a standard authentication system, and this additional data can be used to determine if a biometric measure is authentic. The Fingerprint Liveness Detection Competition (LivDet) goal is to compare both software-based and hardware-based fingerprint liveness detection methodologies. The competition is open to all academic and industrial institutions. The number of competitors grows at every LivDet edition demonstrating a growing interest in the area. In this edition eleven institutions have registered with twelve submissions for the software-based part and one for the hardware-based part.

LivDet 2015 fingerprint liveness detection competition 2015

MURA, VALERIO;Ghiani, Luca;MARCIALIS, GIAN LUCA;ROLI, FABIO;
2015-01-01

Abstract

A spoof or fake is a counterfeit biometric that is used in an attempt to circumvent a biometric sensor. Liveness detection distinguishes between live and fake biometric traits. Liveness detection is based on the principle that additional information can be garnered above and beyond the data procured by a standard authentication system, and this additional data can be used to determine if a biometric measure is authentic. The Fingerprint Liveness Detection Competition (LivDet) goal is to compare both software-based and hardware-based fingerprint liveness detection methodologies. The competition is open to all academic and industrial institutions. The number of competitors grows at every LivDet edition demonstrating a growing interest in the area. In this edition eleven institutions have registered with twelve submissions for the software-based part and one for the hardware-based part.
2015
9781479987764
9781479987764
Statistics and Probability; Computer Science Applications1707 Computer Vision and Pattern Recognition; Biomedical Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/177514
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