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Author:   Kevin W. Bowyer ,  Mark J. Burge
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2nd ed. 2016
Dimensions:   Width: 15.50cm , Height: 3.60cm , Length: 23.50cm
Weight:   1.315kg
ISBN:  

9781447167822

ISBN 10:   1447167821
Pages:   568
Publication Date:   09 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

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.

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Author Information

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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