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Selfie Biometrics

Advances and Challenges

  • Ajita Rattani
  • Reza Derakhshani
  • Arun Ross

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Ajita Rattani, Reza Derakhshani, Arun Ross
    Pages 1-18
  3. Selfie Finger, Ocular and Face Biometrics

    1. Front Matter
      Pages 19-19
    2. Aakarsh Malhotra, Shaan Chopra, Mayank Vatsa, Richa Singh
      Pages 21-47
    3. Ruggero Donida Labati, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
      Pages 49-66
    4. Silvio Barra, Maria De Marsico, Hugo Proença, Michele Nappi
      Pages 67-104
    5. Fernando Alonso-Fernandez, Reuben A. Farrugia, Julian Fierrez, Josef Bigun
      Pages 105-128
    6. Souad Khellat-Kihel, Andrea Lagorio, Massimo Tistarelli
      Pages 129-143
    7. Chiara Lunerti, Richard Guest, Ramon Blanco-Gonzalo, Raul Sanchez-Reillo
      Pages 145-167
  4. Selfie and Liveness Detection

    1. Front Matter
      Pages 169-169
    2. Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Yousef Atoum, Xiaoming Liu
      Pages 171-196
    3. Geetika Arora, Kamlesh Tiwari, Phalguni Gupta
      Pages 197-210
  5. Selfie and Soft-Biometrics

    1. Front Matter
      Pages 211-211
    2. Ajita Rattani, Mudit Agrawal
      Pages 213-225
    3. Juan Tapia, Claudia Arellano, Ignacio Viedma
      Pages 227-242
    4. Pramuditha Perera, Vishal M. Patel
      Pages 243-257
    5. Hoang (Mark) Nguyen, Ajita Rattani, Reza Derakhshani
      Pages 259-271
  6. Security, Privacy, Usability and Protocol for Selfie Biometrics

    1. Front Matter
      Pages 273-273
    2. Veeru Talreja, Terry Ferrett, Matthew C. Valenti, Arun Ross
      Pages 275-297
    3. Kiran B. Raja, R. Raghavendra, Martin Stokkenes, Christoph Busch
      Pages 299-312
    4. Mikhail Gofman, Sinjini Mitra, Yu Bai, Yoonsuk Choi
      Pages 313-353
  7. Back Matter
    Pages 379-380

About this book

Introduction

This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community.

However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones.

Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.

Keywords

Biometrics Mobile Biometrics Selfie Biometrics Pattern Recognition Computational Biometrics

Editors and affiliations

  • Ajita Rattani
    • 1
  • Reza Derakhshani
    • 2
  • Arun Ross
    • 3
  1. 1.Department of Electrical Engineering and Computer ScienceWichita State UniversityWichitaUSA
  2. 2.Department of Computer Science and Electrical EngineeringUniversity of Missouri-Kansas CityKansas CityUSA
  3. 3.Department of Computer Science and EngineeringMichigan State UniversityEast LansingUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-26972-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-26971-5
  • Online ISBN 978-3-030-26972-2
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • Buy this book on publisher's site
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