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Advanced Pattern Recognition Technologies with Applications to Biometrics

Advanced Pattern Recognition Technologies with Applications to Biometrics

Copyright: © 2009 |Pages: 384
ISBN13: 9781605662008|ISBN10: 1605662003|EISBN13: 9781605662015
DOI: 10.4018/978-1-60566-200-8
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MLA

Zhang, David , et al. Advanced Pattern Recognition Technologies with Applications to Biometrics. IGI Global, 2009. https://doi.org/10.4018/978-1-60566-200-8

APA

Zhang, D., Song, F., Xu, Y., & Liang, Z. (2009). Advanced Pattern Recognition Technologies with Applications to Biometrics. IGI Global. https://doi.org/10.4018/978-1-60566-200-8

Chicago

Zhang, David , et al. Advanced Pattern Recognition Technologies with Applications to Biometrics. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-200-8

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With the increasing concerns on security breaches and transaction fraud, highly reliable and convenient personal verification and identification technologies are more and more requisite in our social activities and national services. Biometrics, used to recognize the identity of an individual, are gaining ever-growing popularity in an extensive array of governmental, military, forensic, and commercial security applications.

Advanced Biometric Recognition Technologies: Discriminant Criterion and Fusion Applications focuses on two kinds of advanced biometric recognition technologies, biometric data discrimination and multi-biometrics, while systematically introducing recent research in developing effective biometric recognition technologies. Organized into three main sections, this cutting-edge book explores advanced biometric data discrimination technologies, describes tensor-based biometric data discrimination technologies, and develops the fundamental conception and categories of multi-biometrics technologies.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Preface
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Acknowledgment
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Chapters
Chapter 1
Biometric Discriminant Analysis
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Chapter 2
Tensor Technology  (pages 134-134)
Tensor Technology
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Chapter 3
Biometric Fusion  (pages 253-253)
Biometric Fusion
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Back Materials
Glossary
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About the Authors
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Index
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