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Selfie Biometrics

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Cover of 'Selfie Biometrics'

Table of Contents

  1. Altmetric Badge
    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 14: A Framework for Secure Selfie-Based Biometric Authentication in the Cloud
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Citations

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Chapter title
A Framework for Secure Selfie-Based Biometric Authentication in the Cloud
Chapter number 14
Book title
Selfie Biometrics
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-26972-2_14
Book ISBNs
978-3-03-026971-5, 978-3-03-026972-2
Authors

Veeru Talreja, Terry Ferrett, Matthew C. Valenti, Arun Ross

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 40%
Student > Ph. D. Student 2 40%
Professor 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Arts and Humanities 1 20%