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The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Features: provides authoritative insights from an international selection of preeminent researchers from government, industry, and academia; reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding; presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing; describes open source software for the iris recognition pipeline and datasets of iris images; includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.
Introduction to the Handbook of Iris Recognition
Kevin W. Bowyer and Mark J. Burge
A Survey of Iris Biometrics Research: 2008-2010
Kevin W. Bowyer, Karen P. Hollingsworth, and Patrick J. Flynn
Optics of Iris Imaging Systems
David Ackerman
Iris Quality Metrics for Adaptive Authentication
N. Schmid, J. Zuo, F. Nicolo, and H. Wechsler
Quality and Demographic Investigation of ICE 2006
P. Jonathon Phillips and Patrick J. Flynn
Methods for Iris Segmentation
Raghavender Jillela and Arun Ross
Iris Recognition with Taylor Expansion Features
Algirdas Bastys, Justas Kranauskas, and Volker Krüger
Application of Correlation Filters for Iris Recognition
B. Kumar, J. Thornton, M. Savvides, V. Boddeti, and J. Smereka
Introduction to the IrisCode Theory
Adams Wai Kin Kong, David Zhang, and Mohamed Kamel
Robust and Secure Iris Recognition
Jaishanker Pillai, Vishal Patel, Rama Chellappa, and Nalini Ratha
Multispectral Iris Fusion and Cross-Spectrum Matching
Mark J. Burge and Matthew Monaco
Iris Segmentation for Challenging Periocular Images
Raghavender Jillela, Arun Ross, Vishnu Naresh Boddeti, B.V.K. Vijaya Kumar, Xiaofei Hu, Robert Plemmons, and Paúl Pauca
Design Decisions for an Iris Recognition SDK
Christian Rathgeb, Andreas Uhl, Peter Wild, and Heinz Hofbauer
Fusion of Face and Iris Biometrics
Ryan Connaughton, Kevin W. Bowyer, and Patrick J. Flynn
A Theoretical Model for Describing Iris Dynamics
A.D. Clark, S.A. Kulp, I.H. Herron, and A.A. Ross
Iris Liveness Detection by Modeling Dynamic Pupil Features
Adam Czajka
Iris Image Reconstruction from Binary Templates
Javier Galbally, Marios Savvides, Shreyas Venugopalan, and A.A. Ross
Off-Angle Iris Correction Methods
David S. Bolme, Hector Santos-Villalobos, Joseph Thompson, Mahmut Karakaya, and Chris Bensing Boehnen
Ophthalmic Disorder Menagerie and Iris Recognition
Ishan Nigam, Mayank Vatsa, and Richa Singh
Dr. Kevin W. Bowyer is the Schubmehl-Prein Professor and Chair of the Department of Computer Science and Engineering at the University of Notre Dame, IN, USA.
Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Springer textbook Digital Image Processing – An Algorithmic Introduction Using Java.
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