Iris Biometrics

From Segmentation to Template Security

  • Christian Rathgeb
  • Andreas Uhl
  • Peter Wild

Part of the Advances in Information Security book series (ADIS, volume 59)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Fundamentals in Iris Recognition

    1. Front Matter
      Pages 1-1
    2. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 3-6
    3. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 7-19
    4. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 21-36
  3. Iris Image Processing and Biometric Comparators

    1. Front Matter
      Pages 37-37
    2. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 39-48
    3. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 49-73
    4. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 75-83
    5. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 85-95
    6. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 97-140
    7. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 141-169
    8. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 171-199
  4. Privacy and Security in Iris Biometrics

    1. Front Matter
      Pages 201-201
    2. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 203-222
    3. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 223-231
    4. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 233-244
    5. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 245-265
    6. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 267-272
    7. Christian Rathgeb, Andreas Uhl, Peter Wild
      Pages 273-316

About this book

Introduction

Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.

Keywords

Biometrics Iris Biometric Security Iris Image Compression Iris Image Segmentation Iris Recognition

Authors and affiliations

  • Christian Rathgeb
    • 1
  • Andreas Uhl
    • 2
  • Peter Wild
    • 3
  1. 1., Department of Computer SciencesUniversity of SalzburgSalzburgAustria
  2. 2.Inst. Computerwissenschaften, und SystemanalyseUniversität SalzburgSalzburgAustria
  3. 3., Department of Computer SciencesUniversity of SalzburgSalzburgAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-5571-4
  • Copyright Information Springer Science+Business Media, LLC 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-5570-7
  • Online ISBN 978-1-4614-5571-4
  • Series Print ISSN 1568-2633
  • About this book