Processing for Security Systems

Transcription

1 Multimodal Biometrics and Intelligent Image Processing for Security Systems Marina L. Gavrilova University of Calgary, Canada Maruf Monwar Carnegie Mellon University, USA REFERENCE

2 Table of Contents Foreword x'' Quotes and Testimonials xiii Preface xv Acknowledgment xvi Section 1 Biometric Overview and Trends Chapter 1 Introduction 1 A Historical Look at Artificial Intelligence 1 Evolutionary Computing and Neural Networks 2 Computational Intelligence and Biometrics 3 Summary 4 Chapter 2 Overview of Biometrics and Biometrics Systems 6 Introduction 6 Biometric Identifiers 7 Attributes of Biometric Identifiers 12 Components of Biometric System 12 Biometric Verification 15 Biometric Identification 15 Biometric System Performance 17 Application of Biometric Systems 19 Limitations of Biometric Systems 20 Summary 22

3 Chapter 3 Biometric Image Processing 26 Introduction 26 Appearance-Based Image Processing in Biometrics 27 Topology-Based Intelligent Pattern Analysis in Biometrics 36 Model-Based Behavioral Biometrics 41 Summary 43 Section 2 Current Practices in Information Fusion for Multimodal Biometrics Chapter 4 Multimodal Biometric System and Information Fusion 48 Introduction 48 Advantages of Multimodal Biometric System 49 Developmental Issues of Multibiometric Systems 50 Information Sources for Multibiometric Systems 52 Information Fusion 54 Biometric Information Fusion 56 Fusion Before Matching and Fusion After Matching 57 Summary 63 Chapter 5 Rank Level Fusion 69 Introduction 69 Review of Existing Methods 70 Plurality Voting Rank Fusion Method 71 Highest Rank Method for Rank Fusion 72 Borda Count Rank Fusion Method 73 Logistic Regression Rank Fusion Method 74 Quality-Based Rank Fusion Method 75 Summary 78 Chapter 6 Markov Chain for Multimodal Biometric Rank Fusion 80 Introduction 80 Markov Chain 81 Research on Markov Chain 83 Markov Chain for Multimodal Biometric Fusion 85 Sample Results Obtained Through Experimentations 90 Summary 96

4 Chapter 7 Fuzzy Fusion for Multimodal Biometric 98 Introduction Fuzzy Logic Basics 99 Research on Fuzzy Logic-Based Fusion 99 Fuzzy Fusion of Biometric Information 101 Experiment Results for Fuzzy Fusion of Biometric Information 106 Summary ' Section 3 Applications in Security Systems Chapter 8 Robotics and Multimodal Biometrics 113 Introduction 113 Literature Review 116 Survey of Non-Biological Entities 116 Avatar Authentication 117 Applications 123 Summary and Future Work 124 Chapter 9 Chaotic Neural Networks and Multi-Modal Biometrics 130 Introduction 131 System Architecture 132 Neural Networks Methodology 134 Chaos in Neural Networks 135 Feature Space and Dimensionality Reduction 136 Neural-Networks in Multi-Modal Biometrics 137 Subspace Analysis and Associate Memory 139 Performance of Neural Network on Fingerprint Matching 140 CNN-Based Minutiae Matching Method 142 Summary 143 Chapter 10 Novel Applications of Multimodal Biometrics 147 Introduction 147 Gait Analysis in Multi-Biometric Research 148 Literature Survey 149 Detailed Methodology 150 Social Networks for Multibiometric Research 156 Fusing Social Context with Gait Recognition 157 Implementation Details and Results 158 Summary 161

5 Chapter 11 Conclusion 164 Book Summary 164 Conclusion 165 Future Research Directions 165 Appendix 1: List of Figures 167 Appendix 2: List of Tables 169 Appendix 3: List of Abbreviations 170 Compilation of References 172 Related References 188 About the Authors 215 Index 216