An Enhanced Generative Adversarial Network Model for Fingerprint Presentation Attack Detection
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12700-7_39
Reference24 articles.
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3. Arora, S.: Fingerprint spoofing detection to improve customer security in mobile financial applications using deep learning. Arab. J. Sci. Eng. 45, 2847–2863 (2019)
4. Espinoza, M., Champod, C.: Using the number of pores on fingerprint images to detect spoofing attacks. In: Proceedings of International Conference on Hand-Based Biometrics, pp. 1–5 (2011)
5. Frassetto Nogueira, R., de Alencar Lotufo, R., Campos Machado, R.: Evaluating software-based fingerprint liveness detection using convolutional networks and local binary patterns. In: Proceedings of IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings, pp. 22–29 (2014)
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