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Handbook of Iris Recognition

Previously published in hardcover
BuchKartoniert, Paperback
568 Seiten
Englisch
Springererschienen am07.06.20182. Aufl.
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. includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.mehr
Verfügbare Formate
BuchGebunden
EUR160,49
BuchKartoniert, Paperback
EUR160,49

Produkt

KlappentextThe 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. includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.
Details
ISBN/GTIN978-1-4471-7389-2
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2018
Erscheinungsdatum07.06.2018
Auflage2. Aufl.
ReiheAdvances in Computer Vision and Pattern Recognition
Seiten568 Seiten
SpracheEnglisch
Gewicht992 g
IllustrationenXXI, 568 p. 279 illus., 157 illus. in color.
Artikel-Nr.45706162

Inhalt/Kritik

Inhaltsverzeichnis
Introduction to the Handbook of Iris Recognition.- A Survey of Iris Biometrics Research: 2008-2010.- Optics of Iris Imaging Systems.- Standard Iris Storage Formats.- Iris Quality Metrics for Adaptive Authentication.- Quality and Demographic Investigation of ICE 2006.- Methods for Iris Segmentation.- Iris Recognition with Taylor Expansion Features.- Application of Correlation Filters for Iris Recognition.- Introduction to the IrisCode Theory.- Robust and Secure Iris Recognition.- Multispectral Iris Fusion and Cross-Spectrum Matching.- Iris Segmentation for Challenging Periocular Images.- Periocular Recognition from Low Quality Iris Images.- Unconstrained Iris Recognition in Visible Wavelengths.- Design Decisions for an Iris Recognition SDK.- Fusion of Face and Iris Biometrics.- A Theoretical Model for Describing Iris Dynamics.- Iris Liveness Detection by Modeling Dynamic Pupil Features.- Iris Image Reconstruction from Binary Templates.- Off-Angle Iris Correction Methods.- Ophthalmic Disorder Menagerie and Iris Recognition.- Template Aging in Iris Biometrics.mehr

Autor

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.
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Herausgegeben:Bowyer, Kevin W.