Handbook of Iris Recognition

ISBN-13: 9781447173892 / Angielski / Miękka / 2018 / 568 str.

Opis

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. Features: provides authoritative insights from an international selection of preeminent researchers from 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.

Spis treści

Introduction to the Handbook of Iris Recognition
Kevin W. Bowyer and Mark J. Burge

A Survey of Iris Biometrics Research: 2008-2010
Kevin W. Bowyer, Karen P. Hollingsworth, and Patrick J. Flynn

Optics of Iris Imaging Systems
David Ackerman

Standard Iris Storage Formats
George Quinn, Patrick Grother, and Elham Tabassi

Iris Quality Metrics for Adaptive Authentication
N. Schmid, J. Zuo, F. Nicolo, and H. Wechsler

Quality and Demographic Investigation of ICE 2006
P. Jonathon Phillips and Patrick J. Flynn

Methods for Iris Segmentation
Raghavender Jillela and Arun Ross

Iris Recognition with Taylor Expansion Features
Algirdas Bastys, Justas Kranauskas, and Volker Krüger

Application of Correlation Filters for Iris Recognition
B. Kumar, J. Thornton, M. Savvides, V. Boddeti, and J. Smereka

Introduction to the IrisCode Theory
Adams Wai Kin Kong, David Zhang, and Mohamed Kamel

Robust and Secure Iris Recognition
Jaishanker Pillai, Vishal Patel, Rama Chellappa, and Nalini Ratha

Multispectral Iris Fusion and Cross-Spectrum Matching
Mark J. Burge and Matthew Monaco

Iris Segmentation for Challenging Periocular Images
Raghavender Jillela, Arun Ross, Vishnu Naresh Boddeti, B.V.K. Vijaya Kumar, Xiaofei Hu, Robert Plemmons, and Paúl Pauca

Periocular Recognition from Low Quality Iris Images
Josh Klontz and Mark J. Burge

Unconstrained Iris Recognition in Visible Wavelengths
Hugo Proença

Design Decisions for an Iris Recognition SDK
Christian Rathgeb, Andreas Uhl, Peter Wild, and Heinz Hofbauer

Fusion of Face and Iris Biometrics
Ryan Connaughton, Kevin W. Bowyer, and Patrick J. Flynn

A Theoretical Model for Describing Iris Dynamics
A.D. Clark, S.A. Kulp, I.H. Herron, and A.A. Ross

Iris Liveness Detection by Modeling Dynamic Pupil Features
Adam Czajka

Iris Image Reconstruction from Binary Templates
Javier Galbally, Marios Savvides, Shreyas Venugopalan, and A.A. Ross

Off-Angle Iris Correction Methods
David S. Bolme, Hector Santos-Villalobos, Joseph Thompson, Mahmut Karakaya, and Chris Bensing Boehnen

Ophthalmic Disorder Menagerie and Iris Recognition
Ishan Nigam, Mayank Vatsa, and Richa Singh

Template Aging in Iris Biometrics
Sarah Baker, Kevin Bowyer, Patrick Flynn, and Jonathon Phillips

O autorze

Dr. Kevin W. Bowyer is the Schubmehl-Prein 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 organization Noblis in Falls Church, VA, USA. His other publications include the Springer textbook Digital Image Processing – An Algorithmic Introduction Using Java.

Blurb

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.