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4 November 2014 High-emulation mask recognition with high-resolution hyperspectral video capture system
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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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiao Feng, Xiaojing Fang, Shoufeng Li, and Yongjin Wang "High-emulation mask recognition with high-resolution hyperspectral video capture system", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92733H (4 November 2014);


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