Abstract
This chapter presents a system which simultaneously acquires face and iris samples using a single sensor, with the goal of improving recognition accuracy while minimizing sensor cost and acquisition time. The resulting system improves recognition rates beyond the observed recognition rates for either isolated biometric.
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Acknowledgments
Datasets used in this work were acquired under funding from the National Science Foundation under grant CNS01-30839, by the Central Intelligence Agency, and by the Technical Support Working Group under US Army Contract W91CRB-08-C-0093. The authors were supported by a grant from the Intelligence Advanced Research Projects Activity.
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Connaughton, R., Bowyer, K.W., Flynn, P.J. (2016). Fusion of Face and Iris Biometrics. In: Bowyer, K., Burge, M. (eds) Handbook of Iris Recognition. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6784-6_17
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DOI: https://doi.org/10.1007/978-1-4471-6784-6_17
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