2023/04/11 by Riley Kiefer, Kiefer, Riley, Jacob R. Stevens +3
Computer Science · Social Sciences · #Biometric Identification and Security #Computers and Society (cs.CY) #FOS: Computer and information sciences #Forensic Fingerprint Detection Methods #User Authentication and Security Systems
paper · pdf · doi:10.48550/arxiv.2304.05312
openalex publication_date 2023/04/11 · openalex created_date 2023/04/13 · openalex updated_date 2026/07/28
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.