A survey of deep face recognition in the wild

Bima Prihasto, Shabrina Choirunnisa, Muhammad Ishak Nurdiansyah, Seksan Mathulaprangsan, Vivian Ching Mei Chu, Shi Huang Chen, Jia Ching Wang

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

6 Scopus citations

Abstract

Face recognition is one of the significant topics in the biometric security system. This topic has been progressively developed by deep learning approaches, one of the most favorite techniques in recent years. In this paper, we propose a survey of existing works on face recognition using deep learning algorithms. All of the surveyed methods were compared on the labeled face in the wild (LFW) database.

Original languageEnglish
Title of host publication2016 International Conference on Orange Technologies, ICOT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-79
Number of pages4
ISBN (Electronic)9781538648315
DOIs
StatePublished - 1 Feb 2018
Event2016 International Conference on Orange Technologies, ICOT 2016 - Melbourne, Australia
Duration: 18 Dec 201620 Dec 2016

Publication series

Name2016 International Conference on Orange Technologies, ICOT 2016
Volume2018-January

Conference

Conference2016 International Conference on Orange Technologies, ICOT 2016
Country/TerritoryAustralia
CityMelbourne
Period18/12/1620/12/16

Keywords

  • Deep learning
  • Face recognition
  • LFW dataset

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