Development of Active Liveness Detection System Based on Deep Learning ActivenessNet to Overcome Face Spoofing
Author:
Affiliation:
1. School of Electrical Engineering and Informatics, Institut Teknologi Bandung,Bandung,Indonesia
2. Data and Information Center,National Research and Innovation Agency,Bandung,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10335164/10335100/10335354.pdf?arnumber=10335354
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3. 2023 Identity Theft Facts and Statistics,2023
4. FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection
5. A Survey on Face Anti-spoofing Techniques;Nigam;International Journal of Emerging Trends in Engineering Research,2021
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