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Handbook of Iris Recognition

By Mark J. Burge , Kevin Bowyer

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The Handbook of Iris Recognition details this  rapidly developing technology. It provides complete coverage of key subjects in the field, from sensor acquisition to matching, as well as examines the business decisions involved in developing such as system.

Full Description

  • ISBN13: 978-1-4471-4401-4
  • 424 Pages
  • User Level: Science
  • Publication Date: January 12, 2013
  • Available eBook Formats: PDF
  • eBook Price: $129.00
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Full Description
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.
Table of Contents

Table of Contents

  1. Introduction to the Handbook of Iris Recognition.
  2. A Survey of Iris Biometrics Research: 2008
  3. 2010.
  4. Standard Iris Storage Formats.
  5. Iris Quality Metrics for Adaptive Authentication.
  6. Quality and Demographic Investigation of ICE 2006.
  7. Iris Recognition with Taylor Expansion Features.
  8. A Theoretical Model For Describing Iris Dynamics.
  9. Iris Recognition in the Visible Wavelength.
  10. Multispectral Iris Fusion and Cross
  11. spectrum Matching.
  12. Robust and Secure Iris Recognition.
  13. Template Aging in Iris Biometrics.
  14. Fusion of Face and Iris Biometrics.
  15. Methods for Iris Segmentation.
  16. Introduction to the IrisCode Theory.
  17. Application of Correlation Filters for Iris Recognition.
  18. Reverse Engineering the Daugman Feature Encoding Scheme.
  19. Optics of Iris Imaging Systems.
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