Masked fake face detection using radiance measurements

Abstract

This research presents a novel 2D feature space where real faces and masked fake faces can be effectively discriminated. We exploit the reflectance disparity based on albedo between real faces and fake materials. The feature vector used consists of radiance measurements of the forehead region under 850 and $685\mathrm{nm}$ illuminations. Facial skin and mask material show linearly separable distributions in the feature space proposed. By simply applying Fisher’s linear discriminant, we have achieved 97.78% accuracy in fake face detection. Our method can be easily implemented in commercial face verification systems.