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Produktbild: Handbook of Iris Recognition
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Handbook of Iris Recognition

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Beschreibung

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...

Beschreibung

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.

Portrait


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
.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.06.2018

Abbildungen

XXI, 568 p. 279 illus., 157 illus. in color.

Herausgeber Kevin W. Bowyer + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.06.2018

Abbildungen

XXI, 568 p. 279 illus., 157 illus. in color.

Herausgeber
Verlag Springer London
Seitenzahl

568

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

992 g

Auflage

Softcover reprint of the original 2nd ed. 2016

Sprache

Englisch

ISBN

978-1-4471-7389-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Handbook of Iris Recognition

  • 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.