Handbook of Iris Recognition (Advances in Computer Vision and Pattern Recognition) - Hardcover

Hardcover

ISBN 10: 1447167821 ISBN 13: 9781447167822

Publisher: Springer, 2016

Synopsis

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.

About this title

Review

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)

From the Back Cover

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.

Topics and features:

• With a Foreword by the “father of iris recognition,” Professor John Daugman of Cambridge University
• Provides authoritative insights from an international selection of preeminent researchers with experience in sectors of 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

This essential text/reference is an ideal resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new viewpoints and ideas.

Dr. Kevin W. Bowyer is the Schubmehl-Prein Family 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 Noblis Corporation, Falls Church, VA, USA, and Visiting Professor at the US Naval Academy, Annapolis, MD, USA. His other publications include the Springer textbook Digital Image Processing – An Algorithmic Introduction Using Java.

Edition details

• Publisher: Springer
• Publication date: 2016
• ISBN 10: 1447167821
• ISBN 13: 9781447167822
• Binding: Hardcover
• Language: English
• Edition number: 2
• Number of pages: 589
• Editor: Bowyer Kevin W., Burge Mark J.