SpoofGAN: Synthetic Fingerprint Spoof Images
Author:
Affiliation:
1. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9970396/09979673.pdf?arnumber=9979673
Reference70 articles.
1. Biometrics recognition using deep learning: A survey;minaee;arXiv 1912 00271,2019
2. A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning;pereira;Proc 19th Int Conf Biometrics Special Interest Group (BIOSIG),2020
3. HERS: Homomorphically Encrypted Representation Search
4. Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach
5. PrintsGAN: Synthetic Fingerprint Generator
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2. FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
3. Finger Vein Spoof GANs: Can We Supersede the Production of Presentation Attack Artefacts?;Lecture Notes in Computer Science;2024
4. Enhancing Ensemble Learning Using Explainable CNN for Spoof Fingerprints;Sensors;2023-12-28
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