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International audienceWe present, in this work, a new system of Near-Infrared capture that aims to eliminate ambient light effects. We designed this sensor to be integrated into the mobile platform 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 developed a novel method for landmark detection of sufficiently low complexity so that it can be implemented on our mobile platform. We tested this method on three different near-infrared face databases, and we observed stability in the results of localization precision over these databases associated to performance comparable to the state of the art

This paper describes an association of original hardware solutions associated to adequate software software for human face recognition. A differential CMOS imaging system [1] and a Synchronized flash camera [2] have been developed to provide ambient light invariant images and facilitate segmentation of the face from the background. This invariance of face image demonstrated by our prototype camera systems can result in a significant software/hardware simplification in such biometrics applications especially on a mobile platform where the computation power and memory capacity are both limited. In order to evaluate our prototypes we have build a face database of 25 persons with 4 different illumination conditions. These solutions with appropriate cameras give a significant improvement in performance (on the normal CCD cameras) using a simple correlation based algorithm associated with an adequate preprocessing. Finally, we have obtained a promising results using fusion between different sensors.

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