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Template protection based on chaotic map for face recognition

  • Jinjin Dong
  • , Xiao Meng
  • , Meng Chen
  • , Zhifang Wang*
  • , Linlin Tang
  • *Corresponding author for this work

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

Abstract

With the widespread deployment of biometric recognition, personal data security and privacy are attracted more and more attentions. A crucial privacy issue is how to ensure the security of user template. This paper proposes a novel template protection algorithm for face recognition based on chaotic map. Each face template is corresponding to different chaotic sequence produced by system master key and user identification number. The order of chaotic sequence controls the substitution index of face template. Experiment results on facial FERET database show that our algorithm can significantly improve the recognition performance and ensure the security of face template.

Original languageEnglish
Title of host publicationData Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings
EditorsXianhua Song, Wei Xie, Zeguang Lu, Beiji Zou, Min Li, Hongzhi Wang
PublisherSpringer Verlag
Pages242-250
Number of pages9
ISBN (Print)9789811063848
DOIs
StatePublished - 2017
Externally publishedYes
Event3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017 - Changsha, China
Duration: 22 Sep 201724 Sep 2017

Publication series

NameCommunications in Computer and Information Science
Volume727
ISSN (Print)1865-0929

Conference

Conference3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017
Country/TerritoryChina
CityChangsha
Period22/09/1724/09/17

Keywords

  • Face recognition
  • Logistic map
  • Substitution index
  • Template protection

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