Preface |
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xi | |
Acknowledgments |
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xv | |
Author |
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xvii | |
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SECTION I THE SOCIAL BARRIERS AFFECTING THE ADOPTION RATE OF BIOMETRIC TECHNOLOGY |
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3 | (50) |
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The Social and Technical Implications of Biometric Technology |
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3 | (12) |
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15 | (1) |
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15 | (1) |
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Hand Geometry Recognition |
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16 | (1) |
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17 | (1) |
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17 | (1) |
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17 | (1) |
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18 | (1) |
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19 | (1) |
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20 | (1) |
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20 | (1) |
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20 | (1) |
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21 | (1) |
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Biometric Technologies in the Future |
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22 | (1) |
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22 | (1) |
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23 | (1) |
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24 | (1) |
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Conclusions Drawn from Comparing the Physical and Behavioral Biometrics |
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24 | (2) |
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Some Key Lessons to Be Learned from Both Technical and Social Perspectives |
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26 | (20) |
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Two Main Applications of Biometric Technology |
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46 | (1) |
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e-Passport Infrastructure |
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46 | (2) |
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48 | (5) |
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Chapter 2 The Social Barriers Affecting the Adoption Rate of Biometric Technology in the United States |
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53 | (44) |
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54 | (3) |
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57 | (3) |
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Legal Aspects of Using Latent Information and Data Presented by a Biometric System |
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60 | (1) |
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Biometric Templates (Both Physical and Behavioral Based) Are Greatly Impacted by Time |
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60 | (1) |
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Only the Unique Features Are Extracted |
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61 | (1) |
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Introducing More Speed into a Biometric System Can Actually Introduce Errors |
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61 | (1) |
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Perception about Biometrics |
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62 | (5) |
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Ergonomic Design of Biometric Devices |
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67 | (1) |
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The Data Acquisition Environment |
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68 | (1) |
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Enhancing the End User Experience |
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69 | (5) |
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74 | (1) |
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75 | (1) |
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75 | (1) |
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75 | (1) |
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76 | (1) |
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77 | (1) |
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An Unsatisfied Demand for a Particular Business Function |
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77 | (1) |
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The Slippery Slope Effect |
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78 | (1) |
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Understanding of Biometric Technology |
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79 | (3) |
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82 | (4) |
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86 | (1) |
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The Legal Status of a Biometric Template |
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86 | (11) |
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SECTION II TWO WORLDWIDE IMPLEMENTATIONS OF BIOMETRIC TECHNOLOGY |
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Chapter 3 Biometrics and the e-Passport |
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97 | (54) |
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The Traditional Paper Passport |
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100 | (7) |
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The Transition to the e-Passport |
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107 | (8) |
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The Mechanics and the Engineering Design Behind the e-Passport |
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115 | (1) |
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The Software for the IT Structure |
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115 | (1) |
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The Hardware for the IT Structure |
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116 | (1) |
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117 | (10) |
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The Security Vulnerabilities and Weaknesses Associated with the e-Passport |
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127 | (8) |
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The Social Impacts of the e-Passport Infrastructure |
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135 | (2) |
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137 | (2) |
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Usability and Accessibility |
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139 | (2) |
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141 | (1) |
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Social and Cultural Differences and Considerations |
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142 | (3) |
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Actual Case Studies of the Deployment of the e-Passport Infrastructure Worldwide |
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145 | (1) |
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Biolink Solutions and the e-Passport in Senegal |
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146 | (1) |
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Neurotechnology and the Polish e-Passport System |
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147 | (4) |
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Chapter 4 Biometrics and e-Voting |
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151 | (64) |
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155 | (3) |
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Traditional Methods of Voting |
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158 | (7) |
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Problems with the Traditional Methods of Voting |
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165 | (5) |
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170 | (10) |
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Security Vulnerabilities of e-Voting |
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180 | (13) |
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Use of Biometrics with e-Voting |
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193 | (16) |
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A Case Study of e-Voting with Biometrics |
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209 | (1) |
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Innovatrics and the Republic of Mozambique |
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210 | (1) |
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210 | (1) |
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211 | (1) |
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211 | (4) |
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SECTION III HOW THE ADOPTION AND USAGE RATES CAN BE INCREASED IN THE UNITED STATES |
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Chapter 5 Strategies for Increasing the Adoption Rate of Biometrics in the United States |
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215 | (14) |
Further Reading |
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229 | (4) |
Index |
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233 | |