Overview
- Presents complete coverage of the key subjects in iris recognition, from sensor acquisition to matching
- Updated and enhanced new edition of this definitive source of iris biometric information, with contributions from numerous experts from government, industry and academia
- Provides an authoritative presentation of the business decisions involved in developing and fielding an iris biometric system
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (23 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Handbook of Iris Recognition
Editors: Kevin W. Bowyer, Mark J. Burge
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-6784-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2016
Hardcover ISBN: 978-1-4471-6782-2Published: 09 August 2016
Softcover ISBN: 978-1-4471-7389-2Published: 07 June 2018
eBook ISBN: 978-1-4471-6784-6Published: 28 July 2016
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 2
Number of Pages: XXI, 568
Number of Illustrations: 122 b/w illustrations, 157 illustrations in colour
Topics: Pattern Recognition