Near infrared sensing and associated landmark detection for face recognition

We present a new system of near-infrared capture that aims to eliminate ambient light effects. We design this sensor to be integrated into the mobile platform Verification d’identite Numerique Securise Itinerante (VINSI). One of the originalities of this sensor is that we can acquire two images at the same time: one in infrared and the other in visible light. We develop a novel method for landmark detection of sufficiently low complexity, so that it can be implemented on our mobile platform. We test this method on three different near-infrared face databases, and we observe stability in the precision of localization over these databases associated to performance comparable to the state of the art.