Towards realistic fingerprint presentation attacks: The ScreenSpoof method

Author:

Casula Roberto,Micheletto Marco,Orrú GiuliaORCID,Marcialis Gian Luca,Roli FabioORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference14 articles.

1. 30107-3, I. Information technology-biometric presentation attack detection-part 3: Testing and reporting (2017).

2. Livdet 2021 fingerprint liveness detection competition - into the unknown;Casula,2021

3. Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?;Casula,2021

4. Fingerprint spoof buster: use of minutiae-centered patches;Chugh;IEEE Trans. Inf. Forensics Secur.,2018

5. Livdet 2013 fingerprint liveness detection competition 2013;Ghiani,2013

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1. An efficient ensemble explainable AI (XAI) approach for morphed face detection;Pattern Recognition Letters;2024-08

2. Balancing Accuracy and Error Rates in Fingerprint Verification Systems Under Presentation Attacks With Sequential Fusion;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-07

3. Fingerprint multiple-class classifier: performance evaluation on known and unknown fingerprint spoofing materials;International Journal of Biometrics;2024

4. LivDet2023 - Fingerprint Liveness Detection Competition: Advancing Generalization;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

5. Fingerprint forgery training: Easy to learn, hard to perform;Proceedings of the 18th International Conference on Availability, Reliability and Security;2023-08-29

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