Toward a non-intrusive, physio- behavioral biometric for smartphones

Biometric authentication relies on an individual's inner characteristics and traits. We propose an active authentication system on a mobile device that relies on two biometric modalities: 3D gestures and face recognition. The novelty of our approach is to combine 3D gesture and face recognition in a nonintrusive and unconstrained environment; the active authentication system is running in the background while the user is performing his/her main task.

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