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Proceedings Paper

High-emulation mask recognition with high-resolution hyperspectral video capture system
Author(s): Jiao Feng; Xiaojing Fang; Shoufeng Li; Yongjin Wang
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Paper Abstract

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.

Paper Details

Date Published: 4 November 2014
PDF: 7 pages
Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92733H (4 November 2014); doi: 10.1117/12.2071819
Show Author Affiliations
Jiao Feng, Nanjing Univ. of Posts and Telecommunications (China)
Xiaojing Fang, Nanjing Univ. of Posts and Telecommunications (China)
Shoufeng Li, Nanjing Univ. of Posts and Telecommunications (China)
Yongjin Wang, Nanjing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9273:
Optoelectronic Imaging and Multimedia Technology III
Qionghai Dai; Tsutomu Shimura, Editor(s)

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