Ambient illumination variation removal by active Near-IR imaging

Authors:
Xuan Zou;Josef Kittler;Kieron Messer
Affiliations:
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

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Abstract

We investigate an active illumination method to overcome the effect of illumination variation in face recognition. Active Near-Infrared (Near-IR) illumination projected by a Light Emitting Diode (LED) light source is used to provide a constant illumination. The difference between two face images captured when the LED light is on and off respectively, is the image of a face under just the LED illumination, and is independent of ambient illumination. In preliminary experiments across different illuminations, across time, and their combinations, significantly better results are achieved in both automatic and semi-automatic face recognition experiments on LED illuminated faces than on face images under ambient illuminations.