Handbook of Iris Recognition (Record no. 94609)

000 -LEADER
fixed length control field 04213nam a22004575i 4500
001 - CONTROL NUMBER
control field 978-1-4471-4402-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082805.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130125s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447144021
-- 978-1-4471-4402-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4471-4402-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q337.5
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7882.P3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQP
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Burge, Mark J.
Relator term editor.
245 10 - TITLE STATEMENT
Title Handbook of Iris Recognition
Medium [electronic resource] /
Statement of responsibility, etc edited by Mark J. Burge, Kevin W. Bowyer.
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 407 p. 215 illus., 99 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Advances in Computer Vision and Pattern Recognition,
International Standard Serial Number 2191-6586
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to the Handbook of Iris Recognition -- A Survey of Iris Biometrics Research: 2008-2010 -- Standard Iris Storage Formats -- Iris Quality Metrics for Adaptive Authentication -- Quality and Demographic Investigation of ICE 2006 -- Iris Recognition with Taylor Expansion Features -- A Theoretical Model For Describing Iris Dynamics -- Iris Recognition in the Visible Wavelength -- Multispectral Iris Fusion and Cross-spectrum Matching -- Robust and Secure Iris Recognition -- Template Aging in Iris Biometrics -- Fusion of Face and Iris Biometrics -- Methods for Iris Segmentation -- Introduction to the IrisCode Theory -- Application of Correlation Filters for Iris Recognition -- Reverse Engineering the Daugman Feature Encoding Scheme -- Optics of Iris Imaging Systems.
520 ## - SUMMARY, ETC.
Summary, etc More than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old. The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors’ own work, and exploiting their broad overview of the field, 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 comprehensive text/reference is an essential resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new insights and ideas. Dr. Mark J. Burge is Senior Principal Scientist at the MITRE Corporation, McLean, VA, USA. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Department Chair of Computer Science and Engineering at the University of Notre Dame, IN, USA.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical pattern recognition.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern Recognition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bowyer, Kevin W.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781447144014
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in Computer Vision and Pattern Recognition,
-- 2191-6586
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-4402-1
912 ## -
-- ZDB-2-SCS

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