Mask spoofing in face recognition and countermeasures
作者：
Highlights：
• 2D and 3D face recognition systems are vulnerable to mask spoofing.
• Countermeasures are proposed based on reflectance, texture and depth analysis.
• Reflectance analysis provides best performance to detect 3D mask attacks.
• Fusion of countermeasures increases the mask spoofing detection performance.
• Classification accuracy of 99% (almost perfect) is reached to detect mask attacks.
摘要
•2D and 3D face recognition systems are vulnerable to mask spoofing.•Countermeasures are proposed based on reflectance, texture and depth analysis.•Reflectance analysis provides best performance to detect 3D mask attacks.•Fusion of countermeasures increases the mask spoofing detection performance.•Classification accuracy of 99% (almost perfect) is reached to detect mask attacks.
论文关键词：Spoofing,Mask attacks,Countermeasure,Face recognition
论文评审过程：Received 11 June 2013, Revised 2 May 2014, Accepted 26 June 2014, Available online 4 July 2014.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.06.003
