LIVEness detection and FACE recognition system for mobile devices – LIVEFACE

With the exponential growth in the use of digital identity over the Internet and across country borders, the abundance of identification numbers and login/passwords induced by modern societies, biometric identification, combining practicality and simplicity for users, is booming. This is particularly noticeable on mobile devices. In the meantime, fraud keeps developing and countermeasures to spoofing are unsatisfactory. That’s why innovative security solutions are needed to protect citizens from this specific threat on their identity. In this project, we focus on 3D face modality and propose to study and develop an active sensor for biometric acquisition on smartphones based on diffractive optics technology. The miniaturized optical system to be designed in LIVEFACE will enable 2D/3D face image acquisition and liveness detection on mobile devices. We will develop algorithms dedicated to 3D face acquisition and reconstruction in 2D/3D for mobile devices, taking into account the baseline between the camera and the projector as well as the projected patterns. We will then take advantage of multi-facial information in order to propose more accurate and more secure recognition algorithms, thanks to the use of multi-modalities. We will study face tissues properties and calculating new specific characteristics for liveness detection; then design an efficient anti-spoofing algorithm using unique features and different fraud fighting methods. The study of optical skin properties will exploit the patterns projected on the face together with an appropriate choice of wavelength. Tests and evaluation of the prototype will be done on a representative number of lures and real faces. Finally, an analysis of the legal frameworks applicable to anti-spoofing data and to the technology developed will be conducted.