Editors:
- The first book of its kind, providing complete coverage of the key subjects in iris recognition, from sensor acquisition to matching
- With contributions from numerous experts in iris biometrics from government, industry and academia, the definitive source of iris biometric information
- 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 (19 chapters)
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Front Matter
About this book
Reviews
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)
Editors and Affiliations
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MITRE Corporation, McLean, USA
Mark J. Burge
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, Department of Computer Science and Engin, University of Notre Dame, Notre Dame, USA
Kevin W. Bowyer
Bibliographic Information
Book Title: Handbook of Iris Recognition
Editors: Mark J. Burge, Kevin W. Bowyer
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-4402-1
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2013
Softcover ISBN: 978-1-4471-6061-8Published: 25 June 2015
eBook ISBN: 978-1-4471-4402-1Published: 12 January 2013
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVI, 407
Topics: Pattern Recognition