Face Anti-Spoofing Method Based on Residual Network with Channel Attention Mechanism

Face Anti-Spoofing Method Based on Residual Network with Channel Attention Mechanism

The face recognition system is vulnerable to spoofing attacks by photos or videos of a valid user face. However, edge degradation and texture blurring occur when non-living face images are used to attack the face recognition system. With this in mind, a novel face anti-spoofing method combines the r...

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Bibliographic Details
Main Authors: Yueping Kong, Xinyuan Li, Guangye Hao, Chu Liu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
face anti-spoofing
secondary imaging
residual network
attention mechanism
Online Access:https://www.mdpi.com/2079-9292/11/19/3056

Internet

https://www.mdpi.com/2079-9292/11/19/3056

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