Fingerprint Presentation Attack Detection Using A Novel Multi-Spectral Capture Device and Patch-Based Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Fingerprint Presentation Attack Detection Using A Novel Multi-Spectral Capture Device and Patch-Based Convolutional Neural Networks

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Workshop on Information Forensics and Security (WIFS)
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Author:

Hussein Mohamed E.,Spinoulas Leonidas,Xiong Fei,Abd-Almageed Wael

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8627366/8630758/08630773.pdf?arnumber=8630773

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Fingerprint Authentication: A Systematic Review of Liveness Detection Methods Against Presentation Attacks;Journal of The Institution of Engineers (India): Series B;2024-05-12

2. A Comprehensive Review of Unimodal and Multimodal Fingerprint Biometric Authentication Systems: Fusion, Attacks, and Template Protection;IEEE Access;2024

3. Fingerprint Identification from Digital Images Using Deep Learning;2023 3rd Intelligent Cybersecurity Conference (ICSC);2023-10-23

4. COLFIPAD: A Presentation Attack Detection Benchmark for Contactless Fingerprint Recognition;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

5. Towards Contactless Fingerprint Presentation Attack Detection using Algorithms from the Contact-based Domain;2023 International Conference of the Biometrics Special Interest Group (BIOSIG);2023-09-20

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