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Handbook of Iris Recognition

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781447144021
Einband:
eBook
Seiten:
407
Autor:
Mark J. Burge
Serie:
Advances in Computer Vision and Pattern Recognition
eBook Typ:
PDF
eBook Format:
eBook
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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.

The Handbook of Iris Recognition details this  rapidly developing technology. It provides complete coverage of key subjects in the field, from sensor acquisition to matching, as well as examines the business decisions involved in developing such as system.

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 book is an essential resource for anyone wishing to improve their understanding of iris recognition technology.

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