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.
Author(s): Ajita Rattani, Reza Derakhshani, Arun Ross
Series: Advances In Computer Vision And Pattern Recognition
Publisher: Springer
Year: 2019
Language: English
Pages: 377
Tags: Biometrics, Selfie
Front Matter ....Pages i-ix
Introduction to Selfie Biometrics (Ajita Rattani, Reza Derakhshani, Arun Ross)....Pages 1-18
Front Matter ....Pages 19-19
User Authentication via Finger-Selfies (Aakarsh Malhotra, Shaan Chopra, Mayank Vatsa, Richa Singh)....Pages 21-47
A Scheme for Fingerphoto Recognition in Smartphones (Ruggero Donida Labati, Angelo Genovese, Vincenzo Piuri, Fabio Scotti)....Pages 49-66
MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition (Silvio Barra, Maria De Marsico, Hugo Proença, Michele Nappi)....Pages 67-104
Super-resolution for Selfie Biometrics: Introduction and Application to Face and Iris (Fernando Alonso-Fernandez, Reuben A. Farrugia, Julian Fierrez, Josef Bigun)....Pages 105-128
Foveated Vision for Biologically Inspired Continuous Face Authentication (Souad Khellat-Kihel, Andrea Lagorio, Massimo Tistarelli)....Pages 129-143
Selfies for Mobile Biometrics: Sample Quality in Unconstrained Environments (Chiara Lunerti, Richard Guest, Ramon Blanco-Gonzalo, Raul Sanchez-Reillo)....Pages 145-167
Front Matter ....Pages 169-169
Presentation Attack Detection for Face in Mobile Phones (Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Yousef Atoum, Xiaoming Liu)....Pages 171-196
Liveness and Threat Aware Selfie Face Recognition (Geetika Arora, Kamlesh Tiwari, Phalguni Gupta)....Pages 197-210
Front Matter ....Pages 211-211
Soft-Biometric Attributes from Selfie Images (Ajita Rattani, Mudit Agrawal)....Pages 213-225
Sex-classification from Cellphones Periocular Iris Images (Juan Tapia, Claudia Arellano, Ignacio Viedma)....Pages 227-242
Active Authentication on Mobile Devices (Pramuditha Perera, Vishal M. Patel)....Pages 243-257
Mobile User Re-authentication Using Clothing Information (Hoang (Mark) Nguyen, Ajita Rattani, Reza Derakhshani)....Pages 259-271
Front Matter ....Pages 273-273
A Framework for Secure Selfie-Based Biometric Authentication in the Cloud (Veeru Talreja, Terry Ferrett, Matthew C. Valenti, Arun Ross)....Pages 275-297
Biometric Template Protection on Smartphones Using the Manifold-Structure Preserving Feature Representation (Kiran B. Raja, R. Raghavendra, Martin Stokkenes, Christoph Busch)....Pages 299-312
Security, Privacy, and Usability Challenges in Selfie Biometrics (Mikhail Gofman, Sinjini Mitra, Yu Bai, Yoonsuk Choi)....Pages 313-353
The Horcrux Protocol: A Distributed Mobile Biometric Self-sovereign Identity Protocol (Asem Othman, John Callahan)....Pages 355-377
Back Matter ....Pages 379-380
