Buch, Englisch, 407 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 639 g
Buch, Englisch, 407 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 639 g
Reihe: Advances in Computer Vision and Pattern Recognition
ISBN: 978-1-4471-6061-8
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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
