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Iris Analysis for Biometric Recognition Systems

  • Rajesh M. Bodade
  • Sanjay N. Talbar

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Rajesh M. Bodade, Sanjay N. Talbar
    Pages 1-12
  3. Rajesh M. Bodade, Sanjay N. Talbar
    Pages 13-23
  4. Rajesh M. Bodade, Sanjay N. Talbar
    Pages 25-57
  5. Rajesh M. Bodade, Sanjay N. Talbar
    Pages 105-107
  6. Back Matter
    Pages 109-109

About this book

Introduction

The book presents three most significant areas in Biometrics and Pattern Recognition. A step-by-step approach for design and implementation of Dual Tree Complex Wavelet Transform (DTCWT) plus Rotated Complex Wavelet Filters (RCWF) is discussed in detail. In addition to the above, the book provides detailed analysis of iris images and two methods of iris segmentation. It also discusses simplified study of some subspace-based methods and distance measures for iris recognition backed by empirical studies and statistical success verifications.

Keywords

Dual Tree Complex Wavelet Transform Iris Analysis Iris Recognition Iris Segmentation Pupil Dynamics Rotated Complex Wavelet Filters

Authors and affiliations

  • Rajesh M. Bodade
    • 1
  • Sanjay N. Talbar
    • 2
  1. 1.Faculty of Communication EngineeringMilitary College of Telecom EnggMhowIndia
  2. 2.Electronics & TelecommunicationsShri GGS Inst of Engg & TechnologyNandedIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-81-322-1853-1
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, New Delhi
  • eBook Packages Engineering
  • Print ISBN 978-81-322-1852-4
  • Online ISBN 978-81-322-1853-1
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site