A review of multimodal facial biometric authentication methods in mobile devices and their application in head mounted displays

Ilesanmi Olade, Hai Ning Liang*, Charles Fleming

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

22 Citations (Scopus)

Abstract

Recently, user authentication has become more important as electronic items become part of the Internet of all Things and users own more mobile devices. Biometric authentication systems have made a promising stride toward reaching the balance of a strong and stress-free authentication by using the distinctiveness of the user's characteristics to determine valid users. Biometric authentication has gained popularity as the system for implicit, non-intrusive and progressive authentication because it has no memory load or carry-along requirements. Here, we review the state-of-the-art in facial biometrics research and we examine facial authentication techniques and the emerging usage of multi-modal biometrics such as various combinations of periocular, iris and face biometrics to ensure better user security. The miniaturization of advanced facial authentication hardware systems into mobile devices such as mobile phones and head-mounted displays (HMDs) used for VR/AR/MR has made biometric authentication seamless. Our survey examines facial authentication based on IR LED and multi-spectral cameras as they are the most commonly implemented hardware due to their multi-functional usage. We examine the possible application of these technologies within HMDs and the most recently released mobile phone devices on the market.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
EditorsFrederic Loulergue, Guojun Wang, Md Zakirul Alam Bhuiyan, Xiaoxing Ma, Peng Li, Manuel Roveri, Qi Han, Lei Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1997-2004
Number of pages8
ISBN (Electronic)9781538693803
DOIs
Publication statusPublished - 4 Dec 2018
Event4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 - Guangzhou, China
Duration: 7 Oct 201811 Oct 2018

Publication series

NameProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

Conference

Conference4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
Country/TerritoryChina
CityGuangzhou
Period7/10/1811/10/18

Keywords

  • Authentication
  • Facial biometric
  • Head mounted display
  • Mobile devices
  • Usable security

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