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 Vérification d’identité Numérique
Sécurisé Itinérante (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.
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