Face anti-cheating method
An anti-spoofing, facial technology, applied in the direction of spoofing detection, neural learning methods, computer parts, etc., can solve the problems of 3D camera dependence, end-user unfriendly, time-consuming, etc.
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[0034] A first embodiment utilizes a near-infrared (NIR) camera and a red-blue-green (RGB) camera to implement face anti-spoofing based on a combined mixed-channel input routed through a deep neural network. The NIR camera input can provide images invariant to lighting conditions, while the RGB camera can provide face color information. The first embodiment is based on a data set of 300 real subjects and 1000 spoofed subjects to obtain test results with enhanced accuracy (true positive rate (TPR) greater than 99.9%, false acceptance rate (FAR) = 10e-3.5 ).
[0035]A NIR camera consists of a NIR light source, a NIR transmission lens and a NIR responsive sensor. NIR cameras detect light with a spectrum of near-infrared wavelengths from 700 nm to 1400 nm, and are typically filtered with narrow NIR bandpass filters. Electronic versions of spoofing attacks such as photos or videos displayed on a phone, tablet or computer screen are rejected by NIR cameras because these spoofing a...
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