Anti-Spoofing for Fingerprint Recognition Using Electric Body Pulse Response

• Published in: IEEE internet of things journal Vol. 11; no. 4; pp. 5993 - 6006
• Main Authors: Kang, Taewook, Oh, Kwang-Il, Lee, Jae-Jin, Kim, Sung-Eun, Lee, Woojoo, Oh, Wangrok, Kim, Seong-Eun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15.02.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Anomalies; Anomaly detection; Biometric recognition systems; Business process re-engineering; Circuits; Couplings; Cybersecurity; Detection algorithms; electric pulse response; Electric variables measurement; Errors; Feature extraction; fingerprint anti-spoofing; fingerprint authentication; Fingerprint recognition; Fingerprint verification; Internet of Things; liveness detection; Machine learning; Principal components analysis; Redundancy; Sampling; Spoofing; Support vector machines

This study presents a highly reliable approach to prevent fingerprint spoofing attacks based on electric body pulse responses (BPRs) in personal Internet of Things (IoT) gadgets. Real fingerprint pulse response (RFPR) and fake fingerprint pulse response (FFPR) data were collected from ten subjects f...