face anti-spoofing based on color texture analysis [article]

Zinelabidine Boulkenafet, Jukka Komulainen, Abdenour Hadid
2015 arXiv   pre-print
Research on face spoofing detection has mainly been focused on analyzing the luminance of the face images, hence discarding the chrominance information which can be useful for discriminating fake faces from genuine ones. In this work, we propose a new face anti-spoofing method based on color texture analysis. We analyze the joint color-texture information from the luminance and the chrominance channels using a color local binary pattern descriptor. More specifically, the feature histograms are
more » ... xtracted from each image band separately. Extensive experiments on two benchmark datasets, namely CASIA face anti-spoofing and Replay-Attack databases, showed excellent results compared to the state-of-the-art. Most importantly, our inter-database evaluation depicts that the proposed approach showed very promising generalization capabilities.
arXiv:1511.06316v1 fatcat:ck6oskwmorfejm53vc4pxmccfu