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Handbook of Statistics by Venu Govindaraju, C.R. Rao

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Chapter 15

Application of Bayesian Graphical Models to Iris Recognition

B.V.K. Vijaya Kumar1, Vishnu Naresh Boddeti1, Jonathon M. Smereka1, Jason Thornton2 and Marios Savvides1,    1Electrical and Computer Engineering Carnegie Mellon University, Pittsburgh, PA, USA, 2Lincoln Laboratory, Lexington, MA, USA

Abstract

Recognition of humans based on their biometric signatures is becoming of increasing importance because of its applications in access security, reliable identification for benefits distribution and homeland security among others. Popular biometric modalities include face images, fingerprints, iris images, palm prints, gait patterns, voice, etc. Iris images are of significant interest because of the excellent recognition rates they offer ...

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