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A Study of Hand-Crafted and Naturally Learned Features for Fingerprint Presentation Attack Detection.

, , , , , and . Handbook of Biometric Anti-Spoofing, 2nd Ed., Springer, (2019)

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Morphed Face Detection Based on Deep Color Residual Noise., , , , , and . IPTA, page 1-6. IEEE, (2019)Transferable deep convolutional neural network features for fingervein presentation attack detection., , , and . IWBF, page 1-5. IEEE, (2017)Smartphone Multi-modal Biometric Authentication: Database and Evaluation., , , , , , , , and . CoRR, (2019)Sound-Print: Generalised Face Presentation Attack Detection using Deep Representation of Sound Echoes., , and . IJCB, page 1-9. IEEE, (2023)A New Multi-spectral Iris Acquisition Sensor for Biometric Verification and Presentation Attack Detection., , , and . WACV Workshops, page 47-54. IEEE, (2019)Morphing Attack Detection - Database, Evaluation Platform and Benchmarking., , , , , , , , , and 12 other author(s). CoRR, (2020)VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection., , , , , and . FG, page 1-9. IEEE, (2024)MIPGAN - Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN., , , , , and . IEEE Trans. Biom. Behav. Identity Sci., 3 (3): 365-383 (2021)Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques., , and . FUSION, page 1-8. IEEE, (2023)Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network., , , , , and . WACV, page 269-278. IEEE, (2020)