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arXiv · 2304.05312

Fingerprint Liveness Detection using Minutiae-Independent Dense Sampling of Local Patches

Riley Kiefer·Jacob Stevens·Ashok Patel
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Abstract

Fingerprint recognition and matching is a common form of user authentication. While a fingerprint is unique to each individual, authentication is vulnerable when an attacker can forge a copy of the fingerprint (spoof). To combat these spoofed fingerprints, spoof detection and liveness detection algorithms are currently being researched as countermeasures to this security vulnerability. This paper introduces a fingerprint anti-spoofing mechanism using machine learning.

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Riley Kiefer, Jacob Stevens, Ashok Patel. 2023-04-11. Fingerprint Liveness Detection using Minutiae-Independent Dense Sampling of Local Patches. https://arxiv.org/abs/2304.05312

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