In the domain of smart homes, technologies for personal safety and security play a prominent role. This paper presents a low-complexity Android application designed for mobile and embedded devices, that exploits the on-board camera to easily capture two images of the subject, and processes them to discriminate a true 3D and live face from a 2D one. The liveness detection based on such a discrimination provides anti-spoofing capabilities to secure access control based on face recognition. The results obtained are satisfactory even in different ambient light conditions, and further improvements are being developed to deal with low precision image acquisition.
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