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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Format: | Thesis-Doctor of Philosophy |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/181095 |
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Institution: | Nanyang Technological University |
Language: | English |