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Selfie Biometrics

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Cover of 'Selfie Biometrics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Selfie Biometrics
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    Chapter 2 User Authentication via Finger-Selfies
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    Chapter 3 A Scheme for Fingerphoto Recognition in Smartphones
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    Chapter 4 MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition
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    Chapter 5 Super-resolution for Selfie Biometrics: Introduction and Application to Face and Iris
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    Chapter 6 Foveated Vision for Biologically Inspired Continuous Face Authentication
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    Chapter 7 Selfies for Mobile Biometrics: Sample Quality in Unconstrained Environments
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    Chapter 8 Presentation Attack Detection for Face in Mobile Phones
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    Chapter 9 Liveness and Threat Aware Selfie Face Recognition
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    Chapter 10 Soft-Biometric Attributes from Selfie Images
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    Chapter 11 Sex-classification from Cellphones Periocular Iris Images
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    Chapter 12 Active Authentication on Mobile Devices
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    Chapter 13 Mobile User Re-authentication Using Clothing Information
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    Chapter 14 A Framework for Secure Selfie-Based Biometric Authentication in the Cloud
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    Chapter 15 Biometric Template Protection on Smartphones Using the Manifold-Structure Preserving Feature Representation
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    Chapter 16 Security, Privacy, and Usability Challenges in Selfie Biometrics
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    Chapter 17 The Horcrux Protocol: A Distributed Mobile Biometric Self-sovereign Identity Protocol
Attention for Chapter 8: Presentation Attack Detection for Face in Mobile Phones
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Citations

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Chapter title
Presentation Attack Detection for Face in Mobile Phones
Chapter number 8
Book title
Selfie Biometrics
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-26972-2_8
Book ISBNs
978-3-03-026971-5, 978-3-03-026972-2
Authors

Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Yousef Atoum, Xiaoming Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Student > Master 3 20%
Other 1 7%
Researcher 1 7%
Unknown 5 33%
Readers by discipline Count As %
Engineering 5 33%
Computer Science 4 27%
Unknown 6 40%