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In this paper we present a new database acquired with three different sensors(visible, near infrared and thermal) under different illumination conditions.This database consists of 41 people acquired in four different acquisitionsessions, five images per session and three different illumination conditions.The total amount of pictures is 7.380 pictures. Experimental results areobtained through single sensor experiments as well as the combination of twoand three sensors under different illumination conditions (natural, infraredand artificial illumination). We have found that the three spectral bandsstudied contribute in a nearly equal proportion to a combined system.Experimental results show a significant improvement combining the threespectrums, even when using a simple classifier and feature extractor. In six ofthe nine scenarios studied we obtained identification rates higher or equal to98%, when using a trained combination rule, and two cases of nine when using afixed rule.

A new face database simultaneously acquired in visible, near infrared and thermal spectrum