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Book Description
Biometrics technology
continues to stride forward with its wider acceptance and its real need
in various new security facets of modern society. From simply logging on
to a laptop to crossing the border of a country, biometrics is being
called upon to meet the growing challenges of identity management.
With contributions from
academia and industry by leading international authorities in the field,
this unique book presents a comprehensive treatment of biometrics and
offers coverage of the entire gamut of topics in the field, including
data acquisition, pattern-matching algorithms, and issues that impact at
the system level, such as standards, security, networks, and databases.
It has been organized under three sections: sensors, advances in
biometric matching algorithms, and topics that deal with issues at the
systems level.
Key
features:
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Includes new algorithmic advances,
including physiological biometrics (face from video, iris at a
distance) and behavioral (handwriting, voice) and a strikingly novel
modality in headprint biometrics
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Contains new modalities for research,
such as infrared and multispectral imaging
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Presents several chapters
on the much overlooked area relating to the sensors themselves for
the various biometric modalities
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Emphasizes the advances and cutting-edge
technologies throughout
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Discusses systems level both from a
human-factors point of view and the perspective of networking,
databases, privacy and anti-spoofing
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Incorporates chapters devoted to
touchless image capture, ultrasonic imaging and swipe methods
Written for researchers and advanced students, this much needed concise
volume is an ideal tool to use as a ready reference and captures the
very latest in state-of-the-art research, providing readers with a
broader and deeper understanding of the topic.
About the Author
Dr Nalini K. Ratha is a Research Staff Member at the IBM Thomas
J. Watson Research Center, Yorktown Heights, New York. His current
research interests include biometrics, computer vision, pattern
recognition and special purpose architecture for computer vision
systems. He leads the biometrics research effort in the area of
enhancing security of biometrics systems and performance evaluation of
biometrics systems. He has co-edited a book entitled "Automatic
Fingerprint Recognition Systems" published by Springer and co-authored a
book entitled "A guide to Biometrics Selection and System design"
published by Springer in 2003. He was also general co-chair of IEEE
AutoID 02 and SPIE Conf. on Biometrics in Human Identification 2004. He
has received several patent awards and a "Research Division" award at
IBM.
He received his Ph. D. from the Department of Computer Science at
Michigan State University and B.Tech in Electrical Engineering and M.
Tech in Computer science and Engineering from Indian Institute of
Technology, Kanpur. He is a senior member of IEEE and co-chair of AutoID
TC, IEEE Robotics and Automation Society.
Dr. Venu Govindaraju is a Professor of Computer Science and
Engineering at the University at Buffalo (UB), State University of New
York. He received his B-Tech (Honors) from the Indian Institute of
Technology (IIT), Kharagpur, India in 1986, and his Ph.D. degree in
Computer Science from UB in 1992.
Govindaraju has co-authored more than 200 scientific papers. He is the
PI on current NSF sponsored projects on International Digital Libraries
and Digital Government. He is the founding director of the Center for
Unified Biometrics and Sensors (CUBS).
He serves on the editorial boards of the IEEE Transactions on Systems,
Man, and Cybernetics (B), the International Journal for Document
Analysis and Recognition, The Journal of Pattern Analysis and
Applications and The Journal of Pattern Recognition.
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