Fusion of near infrared face and Iris biometrics

Authors:
Zhijian Zhang;Rui Wang;Ke Pan;Stan Z. Li;Peiren Zhang
Affiliations:
University of Science and Technology of China, Hefei, China;Institute of Automation, Chinese Academy of Sciences, Beijing, China;University of Science and Technology of China, Hefei, China;Institute of Automation, Chinese Academy of Sciences, Beijing, China;University of Science and Technology of China, Hefei, China
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

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Abstract

In this paper, we present a method for fusing face and iris biometrics using single near infrared (NIR) image. Fusion of NIR face and iris modalities is a natural way of doing multi-model biometrics because they can be acquired in a single image. An NIR face image is taken using a high resolution NIR camera. Face and iris are segmented from the same NIR image. Face and iris features are then extracted from the segmented parts. Matching of face and iris is done using the respective features. The matching scores are fused using various rules. Experiments give promising results.