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Item Details
Title: BIOMETRIC INVERSE PROBLEMS
By: Svetlana N. Yanushkevich, Adrian Stoica, Vlad P. Shmerko
Format: Hardback

List price: £115.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0849328993
ISBN 13: 9780849328992
Publisher: TAYLOR & FRANCIS INC
Pub. date: 5 May, 2005
Pages: 416
Description: Discusses biometric data synthesis and modeling. This book explores various methods of quantifying, adjusting, and correcting biometric data using both commercially available tools and fresh algorithmic approaches.
Synopsis: Traditional methods of biometric analysis are unable to overcome the limitations of existing approaches, mainly due to the lack of standards for input data, privacy concerns involving use and storage of actual biometric data, and unacceptable accuracy. Exploring solutions to inverse problems in biometrics transcends such limits and allows rich analysis of biometric information and systems for improved performance and testing. Although some particular inverse problems appear in the literature, until now there has been no comprehensive reference for these problems. Biometric Inverse Problems provides the first comprehensive treatment of biometric data synthesis and modeling. This groundbreaking reference comprises eight self-contained chapters that cover the principles of biometric inverse problems; basics of data structure design; new automatic synthetic signature, fingerprint, and iris design; synthetic faces and DNA; and new tools for biometrics based on Voronoi diagrams.Based on the authors' vast experience in the field, the book authoritatively examines new approaches and methodologies in both direct and inverse biometrics, providing invaluable analytical and benchmarking tools. The authors include case studies, examples, and implementation codes for practical illustration of the methods. Loaded with approximately 200 figures, 60 problems, 50 MATLAB(R) code fragments, and 200 examples, Biometric Inverse Problems sets the standard for innovation and authority in biometric data synthesis, modeling, and analysis.
Illustrations: 75 black & white illustrations, 8 black & white tables
Publication: US
Imprint: CRC Press Inc
Returns: Non-returnable
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