High-emulation mask recognition with high-resolution hyperspectral video capture system
Jiao Feng, Xiaojing Fang, Shoufeng Li, Yongjin Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
We present a method for distinguishing human face from high-emulation mask, which is increasingly used by criminals for activities such as stealing card numbers and passwords on ATM. Traditional facial recognition technique is difficult to detect such camouflaged criminals. In this paper, we use the high-resolution hyperspectral video capture system to detect high-emulation mask. A RGB camera is used for traditional facial recognition. A prism and a gray scale camera are used to capture spectral information of the observed face. Experiments show that mask made of silica gel has different spectral reflectance compared with the human skin. As multispectral image offers additional spectral information about physical characteristics, high-emulation mask can be easily recognized.