SCFT: Sector-based cancelable fingeprint template

Tohari Ahmad, Burhanudin Rasyid

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

1 Citation (Scopus)

Abstract

In the authentication process, a user must prove that she/he is the real user she/he claims. Amongst authentication tools, fingerprints is a prospective modal because of its performance, acceptability and characteristics. Nevertheless, since fingerprints is private, it should not be used without protection. Existing cryptographic algorithms do not work on fingerprint because the result of fingerprint scanning is unstable. So, a method which is able to carry out authentication of transformed (protected) fingerprint is needed. In this paper, we propose an algorithm which meets this requirement. Here, the fingerprint transformation is performed by rotating, reflecting and translating the minutiae points after the fingerprint domain is divided into sectors. Next, these transformed points are represented as certain features. The experimental results which are obtained by using public data depict that the proposed method is able to increase the performance.

Original languageEnglish
Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1420-1425
Number of pages6
ISBN (Electronic)9781538615423
DOIs
Publication statusPublished - 2 Jul 2017
Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201715 Dec 2017

Publication series

NameProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Volume2018-February

Conference

Conference9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/12/1715/12/17

Keywords

  • data protection
  • data transformation
  • fingerprint
  • information security

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