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

• URL: http://arxiv.org/abs/2304.05312v1
• Date: Tue, 11 Apr 2023 16:11:44 GMT
• Title: Fingerprint Liveness Detection using Minutiae-Independent Dense Sampling of Local Patches
• Authors: Riley Kiefer, Jacob Stevens, and Ashok Patel
• Abstract summary: Fingerprint recognition and matching is a common form of user authentication. Spoof detection and liveness detection algorithms are being researched as countermeasures to this security vulnerability. This paper introduces a fingerprint anti-spoofing mechanism using machine learning.
• Score: 0.0
• License: http://creativecommons.org/publicdomain/zero/1.0/
• 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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