Handbook of Iris Recognition (eBook)

Kevin Bowyer, Mark J. Burge (Herausgeber)

eBook Download: PDF

2013
XVI, 407 Seiten
Springer London (Verlag)
978-1-4471-4402-1 (ISBN)

Infos

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.

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This authoritative collection introduces the reader to the state of the art in iris recognition technology. Topics and features: with a Foreword by the "e;father of iris recognition,"e; 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.

Inhalt

Introduction to the Handbook of Iris RecognitionKevin W. Bowyer and Mark J. BurgeA Survey of Iris Biometrics Research: 2008-2010Kevin W. Bowyer, Karen P. Hollingsworth, and Patrick J. FlynnStandard Iris Storage FormatsGeorge Quinn, Patrick Grother, and Elham TabassiIris Quality Metrics for Adaptive AuthenticationNatalia Schmid, Jinyu Zuo, Francesco Nicolo, and Harry WechslerQuality and Demographic Investigation of ICE 2006P. Jonathon Phillips and Patrick J. FlynnIris Recognition with Taylor Expansion FeaturesAlgirdas Bastys, Justas Kranauskas, and Volker KrügerA Theoretical Model For Describing Iris DynamicsA. D. Clark, S. A. Kulp, I. H. Herron, and A. A. RossIris Recognition in the Visible WavelengthHugo ProençaMultispectral Iris Fusion and Cross-spectrum MatchingMark J. Burge and Matthew MonacoRobust and Secure Iris RecognitionJaishanker Pillai, Vishal Patel, Rama Chellappa, and Nalini RathaTemplate Aging in Iris BiometricsSarah E. Baker, Kevin W. Bowyer, Patrick J. Flynn, and P. Jonathon PhillipsFusion of Face and Iris BiometricsRyan Connaughton, Kevin W. Bowyer, and Patrick J. FlynnMethods for Iris SegmentationRaghavender Jillela and Arun RossIntroduction to the IrisCode TheoryAdams Wai Kin Kong, David Zhang, and Mohamed KamelApplication of Correlation Filters for Iris RecognitionB. V. K. Vijaya Kumar, Jason Thornton, Marios Savvides, Vishnu N. Boddeti, and Jonathon M. SmerekaReverse Engineering the Daugman Feature Encoding SchemeShreyas Venugopalan and Marios SavvidesOptics of Iris Imaging SystemsDavid Ackermann

Produkt-Details

• Erscheint lt. Verlag: 12.1.2013
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Zusatzinfo: XVI, 407 p.
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: biometrics • computer vision • Image Processing • iris recognition • pattern recognition
• ISBN-10: 1-4471-4402-3 / 1447144023
• ISBN-13: 978-1-4471-4402-1 / 9781447144021