Handbook of Iris Recognition

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.- A Survey of Iris Biometrics Research: 2008-2010.- Standard Iris Storage Formats.- Iris Quality Metrics for Adaptive Authentication.- Quality and Demographic Investigation of ICE 2006.- Iris Recognition with Taylor Expansion Features.- A Theoretical Model For Describing Iris Dynamics.- Iris Recognition in the Visible Wavelength.- Multispectral Iris Fusion and Cross-spectrum Matching.- Robust and Secure Iris Recognition.- Template Aging in Iris Biometrics.- Fusion of Face and Iris Biometrics.- Methods for Iris Segmentation.- Introduction to the IrisCode Theory.- Application of Correlation Filters for Iris Recognition.- Reverse Engineering the Daugman Feature Encoding Scheme.- Optics of Iris Imaging Systems.

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.

Summary

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.

Additional text

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)

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)

Product details

• Assisted by: Bowyer (Editor), Bowyer (Editor), Kevin Bowyer (Editor), Kevin W. Bowyer (Editor), Mark J. Burge (Editor), Mar J Burge (Editor), Mark J Burge (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2011
• EAN: 9781447160618
• ISBN: 978-1-4471-6061-8
• No. of pages: 407
• Dimensions: 158 mm x 235 mm x 21 mm
• Weight: 646 g
• Illustrations: XVI, 407 p.
• Series: Advances in Computer Vision and Pattern Recognition; Advances in Computer Vision and Pattern Recognition; Advances in Pattern Recognition
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software