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.
The work presented in this paper was performed at CBSR during Zhijian Zhang and Ke Pan’s visiting CBSR as visiting students.
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Zhang, Z., Wang, R., Pan, K., Li, S.Z., Zhang, P. (2007). Fusion of Near Infrared Face and Iris Biometrics. In: Lee, SW., Li, S.Z. (eds) Advances in Biometrics. ICB 2007. Lecture Notes in Computer Science, vol 4642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74549-5_19
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DOI: https://doi.org/10.1007/978-3-540-74549-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74548-8
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