Handbook of Iris Recognition

More than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old.

The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors’ own work, and exploiting their broad overview of the field, 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 comprehensive text/reference is an essential 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 insights and ideas.

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Handbook of Iris Recognition

More than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old.

The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors’ own work, and exploiting their broad overview of the field, 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 comprehensive text/reference is an essential 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 insights and ideas.

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Handbook of Iris Recognition

Handbook of Iris Recognition

Handbook of Iris Recognition

Handbook of Iris Recognition

eBook2013 (2013)

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Overview

More than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old.

The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors’ own work, and exploiting their broad overview of the field, 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 comprehensive text/reference is an essential 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 insights and ideas.


Product Details

ISBN-13: 9781447144021
Publisher: Springer London
Publication date: 01/12/2013
Series: Advances in Computer Vision and Pattern Recognition
Sold by: Barnes & Noble
Format: eBook
Pages: 407
File size: 9 MB

Table of Contents

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

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

Iris Quality Metrics for Adaptive Authentication
Natalia Schmid, Jinyu Zuo, Francesco Nicolo, and Harry Wechsler

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

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

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

Iris Recognition in the Visible Wavelength
Hugo Proença

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

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

Template Aging in Iris Biometrics
Sarah E. Baker, Kevin W. Bowyer, Patrick J. Flynn, and P. Jonathon Phillips

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

Methods for Iris Segmentation
Raghavender Jillela and Arun Ross

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

Application of Correlation Filters for Iris Recognition
B. V. K. Vijaya Kumar, Jason Thornton, Marios Savvides, Vishnu N. Boddeti, and Jonathon M. Smereka

Reverse Engineering the Daugman Feature Encoding Scheme
Shreyas Venugopalan and Marios Savvides

Optics of Iris Imaging Systems
David Ackermann

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