Comprehensive Study in Open-Set Iris Presentation Attack Detection
Author:
Affiliation:
1. Department of Computer Science and Engineering, 384 Fitzpatrick Hall of Engineering, University of Notre Dame, Notre Dame, IN, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9970396/10122228.pdf?arnumber=10122228
Reference42 articles.
1. A realistic evaluation of iris presentation attack detection
2. Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition
3. D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector
4. Counteracting Presentation Attacks in Face, Fingerprint, and Iris Recognition
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1. Learning Joint Local-Global Iris Representations via Spatial Calibration for Generalized Presentation Attack Detection;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-04
2. Performance Analysis of Textured Contact Lens IRIS Detection Based on Manual Feature Engineering;Lecture Notes on Data Engineering and Communications Technologies;2024
3. Iris Liveness Detection Competition (LivDet-Iris) – The 2023 Edition;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25
4. COLFIPAD: A Presentation Attack Detection Benchmark for Contactless Fingerprint Recognition;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25
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