Evaluating the effects of image compression in Moiré-pattern-based face-spoofing detection

Face-recognition biometric systems have been shown unreliable under the presence of face-spoofing images, creating the need for automatic spoofing detection. In this paper, the effect of image compression degradation on face-spoofing detection is evaluated, based on an algorithm that searches for Moiré patterns due to the overlap of the digital grids, through peak detection in the frequency domain. The proposed spoofing-detection algorithm performance is evaluated subject to H.264/AVC and JPEG image compression for an image database of facial shots under several conditions.