Improving cross-domain face anti-spoofing under different source training data configurations

Improving cross-domain face anti-spoofing under different source training data configurations

Facial Recognition (FR), popular for its user-friendly identity verification, encounters significant risks from face spoofing attacks or Presentation Attacks (PA). Developing face anti-spoofing systems is crucial for FR in security-sensitive environments. Current face anti-spoofing methods are effe...

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Bibliographic Details
Main Author: Cai, Rizhao
Other Authors: Alex Chichung Kot
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Face anti-spoofing
Domain generalization
Deep learning
Biometric security
Image forensics
Online Access:https://hdl.handle.net/10356/181095

Internet

https://hdl.handle.net/10356/181095

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