Face template protection via random permutation maxout transform

Sejung Cho, Beng Jin Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Face template protection is of great interest nowadays due to the increasing concerns on privacy and security of the face templates stored in the databases. There were many attempts to develop plausible face template protection schemes that can satisfy four design criteria of biometric template protection, namely noninvertibility, cancellability, non-linkability and performance. In this paper, a cancellable face template scheme, namely random permutation maxout (RPM) transform is proposed. The RPM transforms a real-valued face feature vector (template) into a discrete index code as a means of protected form of face template. Such a transform offers two major merits: 1) robustness to noises in numeric values of original face template; and 2) nonlinear embedding based on the implicit order of the data. The former promotes accuracy performance preservation while the latter offers strong non-invertible transformation that leads to hardness in inversion attack. Several experiments based on the AR face database are conducted to observe the RPM transform performance with respect to its various parameters. The analyses justify its resilience to inversion attack as well as satisfy the revocability and non-linkability criteria of cancellable biometrics.

Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Biometrics Engineering and Application, ICBEA 2017
PublisherAssociation for Computing Machinery
Pages21-27
Number of pages7
ISBN (Electronic)9781450348713
DOIs
Publication statusPublished - 2017 Apr 21
Event2017 International Conference on Biometrics Engineering and Application, ICBEA 2017 - Hong Kong, Hong Kong
Duration: 2017 Apr 212017 Apr 23

Publication series

NameACM International Conference Proceeding Series
VolumePart F128052

Other

Other2017 International Conference on Biometrics Engineering and Application, ICBEA 2017
CountryHong Kong
CityHong Kong
Period17/4/2117/4/23

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All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Cho, S., & Teoh, B. J. (2017). Face template protection via random permutation maxout transform. In Proceedings of 2017 International Conference on Biometrics Engineering and Application, ICBEA 2017 (pp. 21-27). (ACM International Conference Proceeding Series; Vol. Part F128052). Association for Computing Machinery. https://doi.org/10.1145/3077829.3077833