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This authoritative collection introduces the reader to the state of the art in iris recognition technology. Topics and features: with a Foreword by the "father of iris recognition," Professor John Daugman of Cambridge University; presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts; provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area; surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching); introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging. This book is an essential resource for anyone wishing to improve their understanding of iris recognition technology.
List of contents
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
Standard Iris Storage Formats
George Quinn, Patrick Grother, and Elham Tabassi
Iris Quality Metrics for Adaptive Authentication
Natalia Schmid, Jinyu Zuo, Francesco Nicolo, and Harry Wechsler
Quality and Demographic Investigation of ICE 2006
P. Jonathon Phillips and Patrick J. Flynn
Iris Recognition with Taylor Expansion Features
Algirdas Bastys, Justas Kranauskas, and Volker KrügerA Theoretical Model For Describing Iris Dynamics
A. D. Clark, S. A. Kulp, I. H. Herron, and A. A. Ross
Iris Recognition in the Visible Wavelength
Hugo Proença
Multispectral Iris Fusion and Cross-spectrum Matching
Mark J. Burge and Matthew Monaco
Robust and Secure Iris Recognition
Jaishanker Pillai, Vishal Patel, Rama Chellappa, and Nalini Ratha
Template Aging in Iris Biometrics
Sarah E. Baker, Kevin W. Bowyer, Patrick J. Flynn, and P. Jonathon Phillips
Fusion of Face and Iris Biometrics
Ryan Connaughton, Kevin W. Bowyer, and Patrick J. Flynn
Methods for Iris Segmentation
Raghavender Jillela and Arun Ross
Introduction to the IrisCode Theory
Adams Wai Kin Kong, David Zhang, and Mohamed Kamel
Application of Correlation Filters for Iris Recognition
B. V. K. Vijaya Kumar, Jason Thornton, Marios Savvides, Vishnu N. Boddeti, and Jonathon M. Smereka
Reverse Engineering the Daugman Feature Encoding Scheme
Shreyas Venugopalan and Marios Savvides
Optics of Iris Imaging Systems
David Ackermann
About the author
Kevin W. Bowyer is the author of "Your Call," an ethics and computing column in Computer magazine, and served as chair of the Social, Ethical, Legal and Professional Issues focus group for the Year 2001 Model Curricula for Computing. He has also led workshops on Teaching Ethics and Computing for undergraduate faculty sponsored by the National Science Foundation. Currently, he is editor in chief of IEEE Transactions on Pattern Analysis and Machine Intelligence and is a member of editorial boards for several other journals. Dr. Bowyer's research interests include image understanding, pattern recognition, and medical image analysis. His research work has been supported by the National Science Foundation, Defense Advanced Research Projects Agency, the Air Force Office of Scientific Research, the Army Medical Research and Material Command, NASA, and other agencies. Presently, Dr. Bowyer is professor of computer science and engineering at the University of South Florida, where he has received numerous distinguished teaching awards. Previously, he was a computer science faculty member at Duke University and the Institute for Informatics at the Swiss Federal Technical Institute in Zurich. Dr. Bowyer is an IEEE Fellow.
Report
From the book reviews:
"The book consists of 18 chapters with very detailed analysis of state of the art in particular areas of Iris Recognition technology. ... The handbook will be very useful to anyone interested in or currently working in iris recognition; the presented collection will be a real table-book." (Valery Starovoitov, IAPR Newsletter, Vol. 36 (2), April, 2014)
"Springer has published Handbook of Iris Recognition, which contains 19 contributed chapters from 42 different researchers ... . this is a book well balanced and well worth having in one's professional library ... . With this clear labour of love, Burge and Bowyer have made an outstanding contribution to our science of automated human recognition, for which they and the contributors are to be strongly congratulated." (James Wayman, IET Biometrics, Vol. 3 (1), 2014)
"...an excellent summary of the state of theory, technology, and applications of the important biometric identification modality that uses the characteristics of the iris. ...For anyone interested in iris recognition, this book is indispensable." (Creed Jones, ACM Computing Reviews, May, 2013)
