Deep Learning for Biometric Attack Detection and Recognition

Author:

Khan Mohd. Maaz,Sen Arijeet Chandra,Singh Om Prakash,Chaudhary Jitendra Kumar,Soni Mukesh,Anbazhagan K.

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Chingovska, I., Anjos, A., Marcel, S.: On the effectiveness of local binary patterns in face anti-spoofing. IEEE Trans. Inf. Forensics Secur. 13(10), 2507–2520 (2018)

2. Lecture Notes in Computer Science;Y Wen,2016

3. Ferrara, M., Franco, A., Maltoni, D., Fierrez, J.: Likelihood ratio based biometric score fusion. In International Workshop on Biometric Recognition Systems, pp. 11–20. Springer (2015).

4. Nguyen, H.H., Tran, D.: Deep learning for biometric spoofing detection: Recent advances and future directions. Frontiers Bioeng. Biotechnol. 7, 362 (2019)

5. Menotti, D., Chiachia, G., Pinto, A., Schwartz, W.R., Rocha, A.: Deep representations for iris, face, and fingerprint spoofing detection. IEEE Trans. Inf. Forensics Secur. 10(4), 864–879 (2015)

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