Fusing binary templates for multi-biometric cryptosystems

Guangcan Mai, Meng Hui LIM, Pong Chi YUEN

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Biometric cryptosystem has been proven to be one of the promising approaches for template protection. Since most methods in this approach require binary input, to extend it for multiple modalities, binary template fusion is required. This paper addresses the issues of multi-biometrics' performance and security, and proposes a new binary template fusion method which could maximize the fused template discriminability and its entropy by reducing the bits dependency. Three publicly available datasets are used for experiments. Experimental results show that the proposed method outperforms the state of the art methods.

Original languageEnglish
Title of host publication2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479987764
DOIs
Publication statusPublished - 16 Dec 2015
Event7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015 - Arlington, United States
Duration: 8 Sep 201511 Sep 2015

Publication series

Name2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015

Conference

Conference7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
Country/TerritoryUnited States
CityArlington
Period8/09/1511/09/15

Scopus Subject Areas

  • Statistics and Probability
  • Computer Science Applications
  • Biomedical Engineering

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