Handbook of Iris Recognition

Handbook of Iris Recognition edited by Kevin W. Bowyer, Mark J. Burge.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bowyer, Kevin W. (Editor), Burge, Mark J. (Editor)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2016.
Edition:2nd ed. 2016.
Series:Advances in Computer Vision and Pattern Recognition,
Springer eBook Collection.
Subjects:
Pattern recognition.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction to the Handbook of Iris Recognition
  • A Survey of Iris Biometrics Research: 2008-2010
  • Optics of Iris Imaging Systems
  • Standard Iris Storage Formats
  • Iris Quality Metrics for Adaptive Authentication
  • Quality and Demographic Investigation of ICE 2006
  • Methods for Iris Segmentation
  • Iris Recognition with Taylor Expansion Features
  • Application of Correlation Filters for Iris Recognition
  • Introduction to the IrisCode Theory
  • Robust and Secure Iris Recognition
  • Multispectral Iris Fusion and Cross-Spectrum Matching
  • Iris Segmentation for Challenging Periocular Images
  • Periocular Recognition from Low Quality Iris Images
  • Unconstrained Iris Recognition in Visible Wavelengths
  • Design Decisions for an Iris Recognition SDK
  • Fusion of Face and Iris Biometrics
  • A Theoretical Model for Describing Iris Dynamics
  • Iris Liveness Detection by Modeling Dynamic Pupil Features
  • Iris Image Reconstruction from Binary Templates
  • Off-Angle Iris Correction Methods
  • Ophthalmic Disorder Menagerie and Iris Recognition
  • Template Aging in Iris Biometrics.

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