Advanced Pattern Recognition Technologies with Applications to Biometrics, 1st Edition

  • Published By:
  • ISBN-10: 1605662011
  • ISBN-13: 9781605662015
  • DDC: 006.4
  • Grade Level Range: College Freshman - College Senior
  • 368 Pages | eBook
  • Original Copyright 2008 | Published/Released June 2010
  • This publication's content originally published in print form: 2008

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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 sensor based biometric data discrimination technologies, and develops the fundamental conception and categories of multi biometrics technologies.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
1: Overview.
2: Biometric Discriminant Analysis.
3: Discriminant Analysis for Biometric Recognition.
4: Discriminant Criteria for Pattern Classification.
5: Orthogonal Discriminant Analysis Methods.
6: Parameterized Discriminant Analysis Methods.
7: Two Novel Facial Feature Extraction Methods.
8: Tensor Technology.
9: Tensor Space.
10: Tensor Principal Component Analysis.
11: Tensor Linear Discriminant Analysis.
12: Tensor Independent Component Analysis and Tensor Non-Negative Factorization.
13: Other Tensor Analysis and Further Direction.
14: Biometric Fusion.
15: From Single Biometrics to Multi-Biometrics.
16: Feature Level Fusion.
17: Matching Score Level Fusion.
18: Decision Level Fusion.
19: Book Summary.
About the Authors.