Editors:
Includes coverage of face and eye identification, speaker recognition, networking and other timely technology-related issues
Chapters are written by leading internationally recognized experts from academia and industry
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 479)
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Table of contents (19 chapters)
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Front Matter
About this book
Biometrics: Personal Identification in Networked Society is a comprehensive and accessible source of state-of-the-art information on all existing and emerging biometrics: the science of automatically identifying individuals based on their physiological or behavior characteristics. In particular, the book covers:
*General principles and ideas of designing biometric-based systems and their underlying tradeoffs
*Identification of important issues in the evaluation of biometrics-based systems
*Integration of biometric cues, and the integration of biometrics with other existing technologies
*Assessment of the capabilities and limitations of different biometrics
*The comprehensive examination of biometric methods in commercial use and in research development
*Exploration of some of the numerous privacy and security implications of biometrics.
Also included are chapters on face and eye identification, speaker recognition, networking, and other timely technology-related issues. All chapters are written by leading internationally recognized experts from academia and industry.
Biometrics: Personal Identification in Networked Society is an invaluable work for scientists, engineers, application developers, systems integrators, and others working in biometrics.
Editors and Affiliations
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Michigan State University, E. Lansing
Anil K. Jain
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IBM, T.J. Watson Research Center, Yorktown Heights
Ruud Bolle, Sharath Pankanti
Bibliographic Information
Book Title: Biometrics
Book Subtitle: Personal Identification in Networked Society
Editors: Anil K. Jain, Ruud Bolle, Sharath Pankanti
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/b117227
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1996
Softcover ISBN: 978-1-4757-8295-0Published: 02 April 2013
eBook ISBN: 978-0-306-47044-8Published: 18 April 2006
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: X, 411
Number of Illustrations: 87 b/w illustrations, 4 illustrations in colour
Topics: Computer Vision, Signal, Speech and Image Processing , Computer Imaging, Vision, Pattern Recognition and Graphics