Produktbild: Handbook of Iris Recognition

Handbook of Iris Recognition

Fr. 166.00

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.03.2013

Abbildungen

91 schwarz-weiße und 92 farbige Abbildungen

Herausgeber

Mark J. Burge + weitere

Verlag

Springer London

Seitenzahl

407

Maße (L/B/H)

24.4/15.5/2.2 cm

Gewicht

729 g

Auflage

2013

Sprache

Englisch

ISBN

978-1-4471-4401-4

Beschreibung

Rezension

From the book reviews:

"The book consists of 18 chapters with very detailed analysis of state of the art in particular areas of Iris Recognition technology. ... The handbook will be very useful to anyone interested in or currently working in iris recognition; the presented collection will be a real table-book." (Valery Starovoitov, IAPR Newsletter, Vol. 36 (2), April, 2014)

"Springer has published Handbook of Iris Recognition, which contains 19 contributed chapters from 42 different researchers ... . this is a book well balanced and well worth having in one's professional library ... . With this clear labour of love, Burge and Bowyer have made an outstanding contribution to our science of automated human recognition, for which they and the contributors are to be strongly congratulated." (James Wayman, IET Biometrics, Vol. 3 (1), 2014)

"...an excellent summary of the state of theory, technology, and applications of the important biometric identification modality that uses the characteristics of the iris. ...For anyone interested in iris recognition, this book is indispensable." (Creed Jones, ACM Computing Reviews, May, 2013)

Portrait

Kevin W. Bowyer is the author of "Your Call," an ethics and computing column in Computer magazine, and served as chair of the Social, Ethical, Legal and Professional Issues focus group for the Year 2001 Model Curricula for Computing. He has also led workshops on Teaching Ethics and Computing for undergraduate faculty sponsored by the National Science Foundation. Currently, he is editor in chief of IEEE Transactions on Pattern Analysis and Machine Intelligence and is a member of editorial boards for several other journals. Dr. Bowyer's research interests include image understanding, pattern recognition, and medical image analysis. His research work has been supported by the National Science Foundation, Defense Advanced Research Projects Agency, the Air Force Office of Scientific Research, the Army Medical Research and Material Command, NASA, and other agencies. Presently, Dr. Bowyer is professor of computer science and engineering at the University of South Florida, where he has received numerous distinguished teaching awards. Previously, he was a computer science faculty member at Duke University and the Institute for Informatics at the Swiss Federal Technical Institute in Zurich. Dr. Bowyer is an IEEE Fellow.

Zitat

"...an excellent summary of the state of theory, technology, and applications of the important biometric identification modality that uses the characteristics of the iris. ...For anyone interested in iris recognition, this book is indispensable." (Creed Jones, ACM Computing Reviews, May 15 2013, Review #: CR141221)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.03.2013

Abbildungen

91 schwarz-weiße und 92 farbige Abbildungen

Herausgeber

Verlag

Springer London

Seitenzahl

407

Maße (L/B/H)

24.4/15.5/2.2 cm

Gewicht

729 g

Auflage

2013

Sprache

Englisch

ISBN

978-1-4471-4401-4

Herstelleradresse

Springer Heidelberg
Tiergartenstr. 17
69121 Heidelberg
DE
buchhandel-buch@springer.com

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  • Produktbild: Handbook of Iris Recognition
  • 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