Handbook of iris recognition
Author(s)
Bibliographic Information
Handbook of iris recognition
（Advances in computer vision and pattern recognition / Sameer Singh, Sing Bing Kang, series editors）
Springer, c2013
- : hbk
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Description and Table of Contents
Description
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.
Table of Contents
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. Flynn Standard Iris Storage Formats George Quinn, Patrick Grother, and Elham Tabassi Iris Quality Metrics for Adaptive Authentication Natalia Schmid, Jinyu Zuo, Francesco Nicolo, and Harry Wechsler Quality and Demographic Investigation of ICE 2006 P. Jonathon Phillips and Patrick J. Flynn Iris Recognition with Taylor Expansion Features Algirdas Bastys, Justas Kranauskas, and Volker Kruger A Theoretical Model For Describing Iris Dynamics A. D. Clark, S. A. Kulp, I. H. Herron, and A. A. Ross Iris Recognition in the Visible Wavelength Hugo Proenca Multispectral Iris Fusion and Cross-spectrum Matching Mark J. Burge and Matthew Monaco Robust and Secure Iris Recognition Jaishanker Pillai, Vishal Patel, Rama Chellappa, and Nalini Ratha Template Aging in Iris Biometrics Sarah E. Baker, Kevin W. Bowyer, Patrick J. Flynn, and P. Jonathon Phillips Fusion of Face and Iris Biometrics Ryan Connaughton, Kevin W. Bowyer, and Patrick J. Flynn Methods for Iris Segmentation Raghavender Jillela and Arun Ross Introduction to the IrisCode Theory Adams Wai Kin Kong, David Zhang, and Mohamed Kamel Application of Correlation Filters for Iris Recognition B. V. K. Vijaya Kumar, Jason Thornton, Marios Savvides, Vishnu N. Boddeti, and Jonathon M. Smereka Reverse Engineering the Daugman Feature Encoding Scheme Shreyas Venugopalan and Marios Savvides Optics of Iris Imaging Systems David Ackermann
by "Nielsen BookData"