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Handbook of Iris Recognition

  • Book
  • © 2013

Overview

Editors:
  1. Mark J. Burge

    1. MITRE Corporation, McLean, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Kevin W. Bowyer

    1. , Department of Computer Science and Engin, University of Notre Dame, Notre Dame, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Introduction to the Handbook of Iris Recognition

    • Kevin W. Bowyer, Mark J. Burge
    Pages 1-14

  3. A Survey of Iris Biometrics Research: 2008–2010

    • Kevin W. Bowyer, Karen P. Hollingsworth, Patrick J. Flynn
    Pages 15-54

  4. Standard Iris Storage Formats

    • George Quinn, Patrick Grother, Elham Tabassi
    Pages 55-66

  5. Iris Quality Metrics for Adaptive Authentication

    • Natalia A. Schmid, Jinyu Zuo, Francesco Nicolo, Harry Wechsler
    Pages 67-84

  6. Quality and Demographic Investigation of ICE 2006

    • P. Jonathon Phillips, Patrick J. Flynn
    Pages 85-102

  7. Iris Recognition with Taylor Expansion Features

    • Algirdas Bastys, Justas Kranauskas, Volker Krüger
    Pages 103-127

  8. A Theoretical Model for Describing Iris Dynamics

    • Antwan D. Clark, Scott A. Kulp, Isom H. Herron, A. A. Ross
    Pages 129-150

  9. Iris Recognition in the Visible Wavelength

    • Hugo Proença
    Pages 151-169

  10. Multispectral Iris Fusion and Cross-Spectrum Matching

    • Mark J. Burge, Matthew Monaco
    Pages 171-181

  11. Robust and Secure Iris Recognition

    • Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa, Nalini K. Ratha
    Pages 183-204

  12. Template Aging in Iris Biometrics

    • Sarah E. Baker, Kevin W. Bowyer, Patrick J. Flynn, P. Jonathon Phillips
    Pages 205-218

  13. Fusion of Face and Iris Biometrics

    • Ryan Connaughton, Kevin W. Bowyer, Patrick J. Flynn
    Pages 219-237

  14. Methods for Iris Segmentation

    • Raghavender Jillela, Arun A. Ross
    Pages 239-279

  15. Iris Segmentation for Challenging Periocular Images

    • Raghavender Jillela, Arun A. Ross, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Xiaofei Hu, Robert Plemmons et al.
    Pages 281-308

  16. Periocular Recognition from Low-Quality Iris Images

    • Josh Klontz, Mark J. Burge
    Pages 309-319

  17. An Introduction to the IrisCode Theory

    • Adams Wai Kin Kong, David Zhang, Mohamed Kamel
    Pages 321-336

  18. Application of Correlation Filters for Iris Recognition

    • B. V. K. Kumar, Jason Thornton, Marios Savvides, Vishnu Naresh Boddeti, Jonathon M. Smereka
    Pages 337-354

  19. Iris Spoofing: Reverse Engineering the Daugman Feature Encoding Scheme

    • Shreyas Venugopalan, Marios Savvides
    Pages 355-366

  20. Optics of Iris Imaging Systems

    • David A. Ackerman
    Pages 367-393
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Keywords

About this book

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.

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

  • MITRE Corporation, McLean, USA

    Mark J. Burge

  • , 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

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