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Advanced Pattern Recognition Technologies with Applications to Biometrics

Book Description

Advanced Pattern Recognition Technologies with Applications to Biometrics 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. This cutting-edge book explores advanced biometric data discrimination technologies and develops multi-biometrics technologies.

Table of Contents

  1. Copyright
  2. Preface
  3. Acknowledgment
  4. Overview
    1. ABSTRACT
    2. 1.1 INTRODUCTION
    3. 1.2 BIOMETRIC RECOGNITION TECHNOLOGIES
    4. 1.3 MAIN PROBLEMS IN BIOMETRIC RECOGNITION
    5. 1.4 BOOK PERSPECTIVE
    6. REFERENCES
  5. Biometric Discriminant Analysis
    1. Discriminant Analysis for Biometric Recognition
      1. ABSTRACT
      2. 2.1 LINEAR DISCRIMINANT ANALYSIS
      3. 2.2 LDA FOR SOLVING THE SMALL SAMPLE SIZE PROBLEMS
      4. 2.3 ORGANIZATION OF SECTION I
      5. REFERENCES
    2. Discriminant Criteria for Pattern Classification
      1. ABSTRACT
      2. 3.1 INTRODUCTION
      3. 3.2 LARGE MARGIN LINEAR PROJECTION CLASSIFIER
      4. 3.3 MINIMUM NORM MINIMUM SQUARED-ERROR CLASSIFIER
      5. 3.4 MAXIMUM SCATTER DIFFERENCE CLASSIFIER
      6. 3.5 SUMMARY
      7. REFERENCES
    3. Orthogonal Discriminant Analysis Methods
      1. ABSTRACT
      2. 4.1 INTRODUCTION
      3. 4.2 ORTHOGONALIZED FISHER DISCRIMINANT
      4. 4.3 FISHER DISCRIMINANT WITH SCHUR DECOMPOSITION
      5. 4.4 COMPARISON OF ORTHOGONAL DISCRIMINANT ANALYSIS METHODS
      6. 4.5 SUMMARY
      7. REFERENCES
    4. Parameterized Discriminant Analysis Methods
      1. ABSTRACT
      2. 5.1 PARAMETERIZED DIRECT LINEAR DISCRIMINANT ANALYSIS
      3. 5.3 WEIGHTED LINEAR DISCRIMINANT ANALYSIS IN THE RANGE OF WITHIN-CLASS SCATTER MATRIX
      4. 5.4 SUMMARY
      5. REFERENCES
    5. Two Novel Facial Feature Extraction Methods
      1. ABSTRACT
      2. 6.1 MULTIPLE MAXIMUM SCATTER DIFFERENCE
      3. 6.2 FEATURE EXTRACTION BASED ON COEFFICIENTS OF VARIANCES
      4. 6.3 SUMMARY
      5. REFERENCES
  6. Tensor Technology
    1. Tensor Space
      1. ABSTRACT
      2. 7.1 BACKGROUND
      3. 7.2 BASIC NOTATIONS
      4. 7.3 TENSOR DECOMPOSITION
      5. 7.4 TENSOR RANK
      6. REFERENCES
    2. Tensor Principal Component Analysis
      1. ABSTRACT
      2. 8.1 INTRODUCTION
      3. 8.2 BASIC ALGORITHMS
      4. 8.3 APPLICATIONS TO BIOMETRIC VERIFICATION
      5. 8.4 SUMMARY AND DISCUSSION
      6. REFERENCES
    3. Tensor Linear Discriminant Analysis
      1. ABSTRACT
      2. 9.1 INTRODUCTION
      3. 9.2 BASIC ALGORITHMS
      4. 9.3 APPLICATIONS TO BIOMETRIC VERIFICATION
      5. 9.4 SUMMARY AND DISCUSSION
      6. REFERENCES
    4. Tensor Independent Component Analysis and Tensor Non-Negative Factorization
      1. ABSTRACT
      2. 10.1 INTRODUCTION
      3. 10.2 TENSOR INDEPENDENT COMPONENT ANALYSIS
      4. 10.3 TENSOR NON-NEGATIVE FACTORIZATION (NF)
      5. 10.4 APPLICATIONS TO BIOMETRIC VERIFICATION
      6. 10.5 SUMMARY
      7. REFERENCES
    5. Other Tensor Analysis and Further Direction
      1. ABSTRACT
      2. 11.1 INTRODUCTION
      3. 11.2 TENSOR-BASED CLASSIFIERS
      4. 11.3 OTHER TENSOR SUBSPACE ANALYSIS
      5. 11.4 SUMMARY
      6. REFERENCES
  7. Biometric Fusion
    1. From Single Biometrics to Multi-Biometrics
      1. ABSTRACT
      2. 12. 1 INTRODUCTION
      3. 12.2 BIOMETRIC AND MULTI-BIOMETRIC FUSION: DEFINITION AND NOTATION
      4. 12.3 PERFORMANCE EVALUATION OF BIOMETRIC TECHNIQUES
      5. 12.4 RESEARCH AND DEVELOPMENT OF MULTI-BIOMETRICS
      6. REFERENCES
    2. Feature Level Fusion
      1. ABSTRACT
      2. 13.1 INTRODUCTION
      3. 13.2 SCHEMES TO FUSE FEATURES AT THE FEATURE LEVEL
      4. 13.3 FACE AND PALM PRINT FUSION AT THE FEATURE LEVEL
      5. 13.4 FUSION OF MULTIPLE FEATURE PRESENTATIONS
      6. 13.5 COMMENTS
      7. REFERENCES
    3. Matching Score Level Fusion
      1. ABSTRACT
      2. 14.1 INTRODUCTION
      3. 14.2 MATCHING SCORE FUSION RULES
      4. 14.3 NORMALIZATION PROCEDURES OF MATCHING SCORES
      5. 14.4 EXEMPLIFICATION: INFORMATION FUSION OF FACE AND PALM PRINT
      6. 14.5 COMMENTS
      7. REFERENCES
    4. Decision Level Fusion
      1. ABSTRACT
      2. 15.1 INTRODUCTION
      3. 15.2 RULES AND METHODS OF DECISION LEVEL FUSION
      4. 15.3 SELECTING CLASSIFIERS BASED ON CORRELATIONS BETWEEN CLASSIFIERS
      5. 15.4 A CASE STUDY OF GROUP DECISION-BASED FACE RECOGNITION
      6. 15.5 COMMENTS ON BIOMETRIC FUSION AT THE THREE LEVELS
      7. REFERENCES
    5. Book Summary
      1. ABSTRACT
      2. 16.1 CONTENT SUMMARY
      3. 16.2 METHOD APPLICABILITY
      4. 16. 3 COMMENTS ON MULTI-BIOMETRICS DEVELOPMENT
      5. REFERENCES
  8. Glossary
    1. Preface
    2. Chapter I
    3. Chapter II
    4. Chapter III
    5. Chapter IV
    6. Chapter V
    7. Chapter VI
    8. Chapter VII
    9. Chapter VIII
    10. Chapter IX
    11. Chapter X
    12. Chapter XI
    13. Chapter XII
    14. Chapter XIII
    15. Chapter XIV
    16. Chapter XV
    17. Chapter XVI
  9. About the Authors
  10. Index