Handbook of Iris Recognition (eBook)
XXI, 568 Seiten
Springer London (Verlag)
978-1-4471-6784-6 (ISBN)
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.
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.
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.
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.
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. FlynnOptics of Iris Imaging SystemsDavid AckermanStandard Iris Storage FormatsGeorge 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. FlynnMethods for Iris SegmentationRaghavender 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. SmerekaIntroduction to the IrisCode TheoryAdams Wai Kin Kong, David Zhang, and Mohamed KamelRobust and Secure Iris RecognitionJaishanker Pillai, Vishal Patel, Rama Chellappa, and Nalini RathaMultispectral Iris Fusion and Cross-Spectrum MatchingMark J. Burge and Matthew MonacoIris Segmentation for Challenging Periocular ImagesRaghavender Jillela, Arun Ross, Vishnu Naresh Boddeti, B.V.K. Vijaya Kumar, Xiaofei Hu, Robert Plemmons, and Paúl PaucaPeriocular Recognition from Low Quality Iris ImagesJosh Klontz and Mark J. BurgeUnconstrained Iris Recognition in Visible WavelengthsHugo ProençaDesign Decisions for an Iris Recognition SDKChristian Rathgeb, Andreas Uhl, Peter Wild, and Heinz HofbauerFusion of Face and Iris BiometricsRyan Connaughton, Kevin W. Bowyer, and Patrick J. FlynnA Theoretical Model for Describing Iris DynamicsA.D. Clark, S.A. Kulp, I.H. Herron, and A.A. RossIris Liveness Detection by Modeling Dynamic Pupil FeaturesAdam CzajkaIris Image Reconstruction from Binary TemplatesJavier Galbally, Marios Savvides, Shreyas Venugopalan, and A.A. RossOff-Angle Iris Correction MethodsDavid S. Bolme, Hector Santos-Villalobos, Joseph Thompson, Mahmut Karakaya, and Chris Bensing BoehnenOphthalmic Disorder Menagerie and Iris RecognitionIshan Nigam, Mayank Vatsa, and Richa SinghTemplate Aging in Iris BiometricsSarah Baker, Kevin Bowyer, Patrick Flynn, and Jonathon Phillips
| Erscheint lt. Verlag | 28.7.2016 |
|---|---|
| Reihe/Serie | Advances in Computer Vision and Pattern Recognition |
| Zusatzinfo | XXI, 568 p. 279 illus., 157 illus. in color. |
| Verlagsort | London |
| Sprache | englisch |
| Original-Titel | Handbook of Iris Recognition |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | biometrics • computer vision • Image Processing • iris recognition • pattern recognition |
| ISBN-10 | 1-4471-6784-8 / 1447167848 |
| ISBN-13 | 978-1-4471-6784-6 / 9781447167846 |
| Haben Sie eine Frage zum Produkt? |
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