Handbook of Iris Recognition

The Handbook of Iris Recognition details this rapidly developing technology. It provides complete coverage of key subjects in the field, from sensor acquisition to matching, as well as examines the business decisions involved in developing such as system.

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.

Autorentext
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.

Inhalt

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 Krüger A 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