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1

D, Woodward John. Biometrics. McGraw-Hill/Osborne, 2003.

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2

Jr, Woodward John D., Virginia State Crime Commission, and Rand Corporation, eds. Biometrics: A look at facial recognition. RAND, 2003.

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3

D, Woodward John. Super Bowl surveillance: Facing up to biometrics. RAND, Arroyo Center, 2001.

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4

Hammoud, Riad I. Face biometrics for personal identification: Multi-sensory multi-modal systems. Springer, 2007.

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5

1959-, Pugliese Joseph, ed. Biometrics: Bodies, technologies, biopolitics. Routledge, 2010.

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6

D, Woodward John. Biometrics: Facing up to terrorism. RAND, Arroyo Center, 2001.

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7

D, Woodward John. Biometrics: Facing up to terrorism. RAND, 2001.

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8

Biometric, Consortium Conference (2006 Baltimore MD). 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference. IEEE, 2006.

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9

Unconstrained Face Recognition (International Series on Biometrics). Springer, 2005.

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10

Chellappa, Rama, Shaohua Kevin Zhou, and Wenyi Zhao. Unconstrained Face Recognition (International Series on Biometrics Book 5). Springer, 2006.

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11

Pattern Recognition Machine Intelligence And Biometrics. Springer, 2011.

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12

Abidi, Mongi A., and Besma Abidi. Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems. Springer, 2016.

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13

Reliable Face Recognition Methods: System Design, Implementation and Evaluation (International Series on Biometrics). Springer, 2006.

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14

Deep Learning in Biometrics. Taylor & Francis Group, 2023.

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15

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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16

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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17

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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18

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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19

Deep Learning in Biometrics. CRC Press, 2018.

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20

Bindemann, Markus, ed. Forensic Face Matching. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837749.001.0001.

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Person identification at passport control, at borders, in police investigations, and in criminal trials relies critically on the identity verification of people via image-to-image or person-to-image comparison. While this task is known as ‘facial image comparison’ in forensic settings, it has been studied as ‘unfamiliar face matching’ in cognitive science. This book brings together expertise from practitioners, and academics in psychology and law, to draw together what is currently known about these tasks. It explains the problem of identity impostors and how within-person variability and betw
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