Handbook of Iris Recognition by Kevin Bowyer at Bookstore UAE
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Handbook of Iris Recognition

Handbook of Iris Recognition


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International Edition


About the Book

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 Krüger

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 Proença

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

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Product Details
  • ISBN-13: 9781447160618
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 2013 ed.
  • Language: English
  • Returnable: N
  • Spine Width: 22 mm
  • Width: 156 mm
  • ISBN-10: 1447160614
  • Publisher Date: 25 Jun 2015
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 407
  • Series Title: Advances in Computer Vision and Pattern Recognition
  • Weight: 643 gr

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