“School of Cognitive Sciences”
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| Paper IPM / Cognitive Sciences / 11386 |
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| Abstract: | |||||||
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In noncooperative Iris recognition one
should deal with uncontrolled behavior of the subject as
well as uncontrolled lighting conditions. That means
imperfect focus, contrast, brightness, and orientation
among the others. To cope with this situation we
propose to take iris images at both near infrared (NIR)
and visible light (VL) and use them simultaneously for
recognition. In this paper, a novel approach for iris
recognition is proposed so that extracted features of NIR
and VL images are fused to improve the recognition
rate. When the images do not have enough quality due
to focus, contrast, etc., effects of feature fusion is more
pronounced. This is the situation in UTIRIS database,
which is used in our experiments. Experimental results
show that the proposed approach, especially in small
training samples, leads to a remarkable improvement on
recognition rate compared with either NIR or VL
recognition.
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