Handbook of Iris Recognition

  • Kevin W. Bowyer
  • Mark J. Burge

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Kevin W. Bowyer, Mark J. Burge
    Pages 1-22
  3. Kevin W. Bowyer, Karen P. Hollingsworth, Patrick J. Flynn
    Pages 23-61
  4. David Ackerman
    Pages 63-88
  5. George Quinn, Patrick Grother, Elham Tabassi
    Pages 89-100
  6. N. Schmid, J. Zuo, F. Nicolo, H. Wechsler
    Pages 101-118
  7. P. Jonathon Phillips, Patrick J. Flynn
    Pages 119-135
  8. Raghavender Jillela, Arun A. Ross
    Pages 137-184
  9. Algirdas Bastys, Justas Kranauskas, Volker Krüger
    Pages 185-209
  10. B. V. K. Vijaya Kumar, Jason Thornton, Marios Savvides, Vishnu Naresh Boddeti, Jonathon M. Smereka
    Pages 211-228
  11. Adams Wai Kin Kong, David Zhang, Mohamed Kamel
    Pages 229-245
  12. Jaishanker K. Pillai, Vishal Patel, Rama Chellappa, Nalini Ratha
    Pages 247-268
  13. Mark J. Burge, Matthew Monaco
    Pages 269-279
  14. Raghavender Jillela, Arun A. Ross, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Xiaofei Hu, Robert Plemmons et al.
    Pages 281-308
  15. Josh Klontz, Mark J. Burge
    Pages 309-319
  16. Christian Rathgeb, Andreas Uhl, Peter Wild, Heinz Hofbauer
    Pages 359-396
  17. Ryan Connaughton, Kevin W. Bowyer, Patrick J. Flynn
    Pages 397-415
  18. Antwan Clark, Scott Kulp, Isom Herron, Arun A. Ross
    Pages 417-438

About this book

Introduction

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.

Keywords

Biometrics Computer Vision Image Processing Iris Recognition Pattern Recognition

Editors and affiliations

  • Kevin W. Bowyer
    • 1
  • Mark J. Burge
    • 2
  1. 1.Department of Computer Science and EngineeringUniversity of Notre DameNotre DameUSA
  2. 2.Noblis, Inc.WashingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-6784-6
  • Copyright Information Springer-Verlag London 2016
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-6782-2
  • Online ISBN 978-1-4471-6784-6
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book