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Encyclopedia of Biometrics

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Cover of 'Encyclopedia of Biometrics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Biometric Sample Synthesis
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    Chapter 3 Fingerprint Sample Synthesis
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    Chapter 4 Face Sample Synthesis
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    Chapter 5 Iris Sample Synthesis
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    Chapter 6 Voice Sample Synthesis
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    Chapter 7 Signature Sample Synthesis
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    Chapter 8 SFinGe
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    Chapter 9 Biometric Sensor and Device, Overview
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    Chapter 11 Face Device
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    Chapter 12 Fingerprint, Palmprint, Handprint, and Soleprint Sensor
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    Chapter 14 Hand-Geometry Device
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    Chapter 15 Voice Device
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    Chapter 16 Iris Device
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    Chapter 17 Finger Vein Reader
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    Chapter 18 Palm Vein Image Sensor
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    Chapter 19 Digitizing Tablet
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    Chapter 20 Biometric Applications, Overview
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    Chapter 21 Law Enforcement
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    Chapter 22 Background Checks
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    Chapter 23 Surveillance
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    Chapter 24 Iris Recognition at Airports and Border Crossings
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    Chapter 25 Fraud Reduction, Overview
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    Chapter 26 Registered Traveler
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    Chapter 27 Access Control, Physical
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    Chapter 28 Time and Attendance
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    Chapter 30 Remote Authentication
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    Chapter 31 Transportable Asset Protection
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    Chapter 32 Access Control, Logical
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    Chapter 33 Gait Biometrics, Overview
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    Chapter 34 Psychology of Gait and Action Recognition
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    Chapter 35 Human Detection and Tracking
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    Chapter 36 Gait Recognition, Silhouette-Based
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    Chapter 37 Gait Recognition, Model-Based
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    Chapter 38 Markerless 3D Human Motion Capture from Images
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    Chapter 40 Gait Recognition, Motion Analysis for
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    Chapter 41 Footstep Recognition
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    Chapter 42 Footwear Recognition
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    Chapter 43 Gait, Forensic Evidence of
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    Chapter 47 Fingerprint Recognition, Overview
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    Chapter 48 Anatomy of Friction Ridge Skin
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    Chapter 49 Fingerprint Image Enhancement
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    Chapter 50 Fingerprint Features
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    Chapter 51 Fingerprint Templates
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    Chapter 52 Fingerprint Image Quality
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    Chapter 53 Fingerprint Compression
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    Chapter 54 Fingerprint Matching, Automatic
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    Chapter 55 Fingerprint Matching, Manual
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    Chapter 56 Fingerprint Classification
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    Chapter 57 Fingerprint Indexing
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    Chapter 58 Individuality of Fingerprints, A Review
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    Chapter 59 Anti-spoofing, Fingerprint (Fake Fingers)
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    Chapter 60 Fingerprint Hashing
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    Chapter 61 Fingerprint Databases and Evaluation
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    Chapter 62 Security and Liveness, Overview
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    Chapter 63 Encryption, Biometric
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    Chapter 64 Template Security
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    Chapter 65 Biometric Vulnerabilities, Overview
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    Chapter 66 Cancelable Biometrics
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    Chapter 67 Anti-spoofing, Face
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    Chapter 68 Anti-spoofing, Fingerprint (Hardware and Software)
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    Chapter 70 Anti-spoofing, Voice
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    Chapter 84 Face Recognition, Overview
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    Chapter 86 Face Sample Quality
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    Chapter 87 Face Detection
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    Chapter 88 Deformable Models
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    Chapter 89 Skin Detection
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    Chapter 90 Face Tracking
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    Chapter 91 Face Variation
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    Chapter 92 Face Recognition, Geometric vs. Appearance-Based
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    Chapter 93 Face Recognition, Component-Based
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    Chapter 94 Face Recognition, Near-Infrared
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    Chapter 95 Face Recognition, Thermal
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    Chapter 96 Face Recognition, Video-Based
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    Chapter 97 Face Recognition, 3D-Based
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    Chapter 98 Automatic Analysis of Facial Expressions
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    Chapter 99 Skin Texture
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    Chapter 100 Forensic Applications, Overview
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    Chapter 101 Face, Forensic Evidence of
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    Chapter 103 Forensic Barefoot Comparisons
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    Chapter 104 Voice, Forensic Evidence of
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    Chapter 105 Earprints, Forensic Evidence of
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    Chapter 106 Forensic DNA Evidence
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    Chapter 107 Universal Latent Workstation
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    Chapter 108 Skull, Forensic Evidence of
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    Chapter 109 Dental Biometrics
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    Chapter 111 Performance Measures
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    Chapter 112 Influential Factors to Performance
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    Chapter 114 Operational Times
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    Chapter 115 Zero-Effort Forgery
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    Chapter 119 Biometric Sample Quality
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    Chapter 120 Interoperable Performance
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    Chapter 122 Speaker Matching
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    Chapter 125 Finger Vein Pattern Imaging
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    Chapter 127 Finger Vein Biometric Algorithm
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    Chapter 128 Finger Vein
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    Chapter 129 Palm Vein
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    Chapter 132 Retina Recognition
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    Chapter 137 Sparse Representation for Face Recognition
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    Chapter 139 Signature Features
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    Chapter 140 Signature Matching
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    Chapter 147 Multibiometrics
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    Chapter 148 Multiple Classifier Systems
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    Chapter 149 Multiple Experts
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    Chapter 156 Fusion, Sensor Level
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    Chapter 157 Fusion, Feature-Level
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    Chapter 158 Fusion, Score-Level
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    Chapter 159 Fusion, Rank-Level
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    Chapter 160 Fusion, Decision-Level
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    Chapter 161 Fusion, User-Specific
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    Chapter 162 Fusion, Quality-Based
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    Chapter 163 Multispectral and Hyperspectral Biometrics
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    Chapter 164 Iris Recognition Performance Under Extreme Image Compression
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    Chapter 165 Iris Template Extraction Via Bit Inconsistency and GRIT
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    Chapter 166 Iris Image Quality
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    Chapter 168 Iris Databases
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    Chapter 169 Score Normalization Rules in Iris Recognition
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    Chapter 170 Iris Digital Watermarking
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    Chapter 171 Ear Biometrics, 3D
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    Chapter 172 Ear Recognition, Physical Analogies
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    Chapter 173 Ear Biometrics
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    Chapter 178 Iris Recognition Using Correlation Filters
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    Chapter 179 Anti-spoofing, Iris
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    Chapter 181 Forensic Use of Fingerprints and Fingermarks
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    Chapter 182 Biometrics, Overview
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    Chapter 183 Biometric System Design, Overview
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    Chapter 184 Ergonomic Design for Biometric Systems
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    Chapter 185 Biometric Interfaces
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    Chapter 186 Face Alignment
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    Chapter 189 And-Or Graph Face Model and Its Applications in Artistic Sketching and Aging Simulation
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    Chapter 190 Comparative Anatomy of the Face
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    Chapter 191 Face Pose Analysis
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    Chapter 192 Face Databases and Evaluation
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    Chapter 195 Hidden Markov Models
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    Chapter 196 Gaussian Mixture Models
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    Chapter 197 Universal Background Models
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    Chapter 198 Speaker Recognition, Overview
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    Chapter 199 Speech Production
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    Chapter 200 Speech Analysis
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    Chapter 201 Session Effects on Speaker Modeling
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    Chapter 202 Speaker Segmentation
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    Chapter 203 Speaker Features
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    Chapter 205 Keystroke Recognition
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    Chapter 206 Biometric Verification/Identification/Authentication/Recognition: The Terminology
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    Chapter 208 Biometric Algorithms
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    Chapter 210 User Acceptance
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    Chapter 211 Performance Evaluation, Overview
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    Chapter 212 Biometric Sample Acquisition
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    Chapter 215 Wavefront Coded Ⓡ Iris Biometric Systems
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    Chapter 216 Wavefront Coding for Enhancing the Imaging Volume in Iris Recognition
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    Chapter 217 Segmentation of Off-Axis Iris Images
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    Chapter 218 Iris Acquisition Device
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    Chapter 219 Iris on the Move TM
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    Chapter 220 Automatic Classification of Left/Right Iris Image
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    Chapter 222 Iris Standards Progression
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    Chapter 223 Image Pattern Recognition
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    Chapter 224 Local Image Features
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    Chapter 225 Soft Biometrics
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    Chapter 227 Biometric Vocabulary Standardization
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    Chapter 228 Common Biometric Exchange Formats Framework Standardization
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    Chapter 229 Multibiometrics and Data Fusion Standardization
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    Chapter 230 Biometric Security Standards
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    Chapter 231 Biometric Technical Interface, Standardization
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    Chapter 233 Performance Testing Methodology Standardization
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    Chapter 234 Biometric Identity Assurance Services
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    Chapter 235 Biometric Data Interchange Format, Standardization
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    Chapter 236 Finger Data Interchange Format, Standardization
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    Chapter 237 Face Recognition Standards
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    Chapter 238 Iris Image Data Interchange Formats, Standardization
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    Chapter 239 Vascular Image Data Format, Standardization
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    Chapter 240 Speaker Recognition, Standardization
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    Chapter 242 Biometric Sample Quality, Standardization
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    Chapter 245 Lip Movement Recognition
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    Chapter 250 Finger Geometry, 3D
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    Chapter 251 Hand Geometry
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    Chapter 252 Iris Recognition, Overview
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    Chapter 254 Iris Segmentation Using Active Contours
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    Chapter 255 Iris Super-Resolution
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    Chapter 257 Simultaneous Capture of Iris and Retina for Recognition
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    Chapter 258 Hand Databases and Evaluation
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    Chapter 259 Hand Shape
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    Chapter 263 Hand Veins
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    Chapter 264 Palmprint, 3D
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    Chapter 265 Palmprint Matching
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    Chapter 266 Palmprint Features
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    Chapter 267 Anatomy of the Hand
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    Chapter 278 Latent Fingerprint Experts
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    Chapter 279 Odor Biometrics
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    Chapter 282 Biometric and User Data, Binding of
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    Chapter 283 Configuration Issues, System Design
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    Chapter 284 Security Issues, System Design
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    Chapter 285 Privacy Issues
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    Chapter 286 User Interface, System Design
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    Chapter 287 Embedded Systems
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    Chapter 288 Large Scale System Design
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    Chapter 289 On-Card Matching
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    Chapter 290 Biometric Systems, Agent-Based
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    Chapter 291 Tamper-Proof Operating System
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    Chapter 293 Ensemble Learning
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    Chapter 294 Nonlinear Techniques for Dimension Reduction
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    Chapter 295 Photography for Face Image Data
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    Chapter 296 Periocular-Based Biometrics
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    Chapter 298 Local Image Filters
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    Chapter 299 Support Vector Machine
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    Chapter 300 Illumination Compensation
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    Chapter 301 Manifold Learning
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    Chapter 302 Supervised Learning
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    Chapter 304 Incremental Learning
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    Chapter 305 Independent Component Analysis
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    Chapter 306 Hand Data Interchange Format, Standardization
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    Chapter 307 Iris Encoding and Recognition Using Gabor Wavelets
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    Chapter 309 Heterogeneous Face Biometrics
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    Chapter 376 Face Misalignment Problem
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    Chapter 480 Sources of Information in Biometric Fusion
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    Chapter 654 Image Formation
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    Chapter 864 Procrustes Shape Distance
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    Chapter 909 Fraud Reduction, Applications
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    Chapter 977 Signature Databases and Evaluation
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    Chapter 1000 Publisher’s Erratum to: Voice Device
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    Chapter 1027 Skin Spectroscopy
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    Chapter 1042 Biometric System-on-Card, Standardization
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    Chapter 2261 Human-Biometric Sensor Interaction
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    Chapter 9043 Implementation Profiles and the Code of Practice for Implementing Biometric Systems
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    Chapter 9045 ANSI/NIST-ITL Standard: Data Format for the Interchange of Fingerprint, Facial, and Other Biometric Information
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    Chapter 9046 DNA Data Format Standardization
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    Chapter 9047 Anti-spoofing, Multimodal
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    Chapter 9048 Anti-spoofing, Voice Databases
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    Chapter 9049 Fingerprint Databases for Technology Evaluation, Characterization and Measurement of Difficulty
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    Chapter 9050 Anti-spoofing, Iris Databases
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    Chapter 9056 Environmental Testing Methodology of Biometric System Performance, Standardization
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    Chapter 9067 Anti-spoofing, Face Databases
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    Chapter 9077 Visual Cryptography
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    Chapter 9079 Biometric Template Binarization
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    Chapter 9100 Mixing Fingerprints
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    Chapter 9108 Plastic Surgery and Face Recognition
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    Chapter 9109 Remote Face Recognition
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    Chapter 9111 Anti-spoofing, Voice Conversion
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    Chapter 9114 Conformance Testing Methodologies for Biometric Data Interchange Formats, Standardization of
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    Chapter 9115 Anti-spoofing, Fingerprint Databases
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    Chapter 9125 Signature/Sign Time Series Data Interchange Formats, Standardization
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    Chapter 9129 Quality Measures in Biometric Systems
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    Chapter 9136 Biometric System-on-Card
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    Chapter 9145 EEG Biometrics
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    Chapter 9146 Biometric Zoo Menagerie
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    Chapter 9172 Eye Features and Anatomy
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    Chapter 9176 Gender Classification
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    Chapter 9180 Nose Tip Detection from Face Range Images
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    Chapter 9181 Precise Fiducial Detection
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    Chapter 9185 Signature Recognition, Overview
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    Chapter 9188 WS-Biometric Devices
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    Chapter 9200 Cohort-Based Score Normalization
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    Chapter 9202 BioAPI, Standardization
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    Chapter 9211 Pointer-Based Recognition
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    Chapter 9212 Anti-spoofing, Evaluation Methodologies
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    Chapter 9216 Age Estimation
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    Chapter 9220 Linear Dimension Reduction Techniques
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    Chapter 9228 Biometrics on Mobile Devices
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Title
Encyclopedia of Biometrics
Published by
Springer US, January 2015
DOI 10.1007/978-1-4899-7488-4
ISBNs
978-1-4899-7487-7, 978-1-4899-7488-4, 978-1-4899-7489-1
Editors

Stan Z. Li, Anil Jain

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 24%
Student > Ph. D. Student 16 14%
Researcher 13 12%
Student > Doctoral Student 10 9%
Student > Bachelor 8 7%
Other 11 10%
Unknown 26 23%
Readers by discipline Count As %
Computer Science 36 32%
Engineering 19 17%
Psychology 3 3%
Agricultural and Biological Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 15 14%
Unknown 33 30%