Paper
18 December 2023 A novel cost-effective vivo facial detection technique based on snapshot spectral imaging sensor
Zhihai Wang, Shuai Wang, Bo Gao, Tianxin Wang, Lvrong Zhao, Weixing Yu
Author Affiliations +
Abstract
In the field of face anti-counterfeiting, there are differences between the reflection spectrum of real faces and simulated faces, which can help us overcome the shortcomings of traditional RGB cameras that are difficult to identify the authenticity of faces. In our work, we designed a face anti-spoofing imaging system based on the snapshot spectral imaging chip, which can be used in face anti-spoofing imaging through the analysis of spectral imaging data. Experiments show that our sensor could reconstruct the spectrum of the face region, establish the spectral databases, and achieve face authenticity recognition under active light source based on deep convolutional neural network, with a face recognition accuracy of 95%.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhihai Wang, Shuai Wang, Bo Gao, Tianxin Wang, Lvrong Zhao, and Weixing Yu "A novel cost-effective vivo facial detection technique based on snapshot spectral imaging sensor", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 1296315 (18 December 2023); https://doi.org/10.1117/12.3007681
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KEYWORDS
Imaging spectroscopy

Matrices

3D modeling

Facial recognition systems

Image sensors

Quantum channels

Light sources

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