Selection of distinguish points for class distribution preserving transform for biometric template protection

Yi C. Feng*, Pong Chi YUEN

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

This paper addresses the biometric template security issue. Follow out previous work on class distribution transform, the proposed scheme selects the distinguish points automatically. By considering the geometric relationship with the biometric templates, the proposed scheme transforms a real-value biometric template to a binary string such that the class distribution is preserved and proved mathematically. The binary string is then further encoded using BCH and hashing method to ensure that the template protecting algorithm is non-invertible. Two face databases, namely ORL and FERET, are selected for evaluation and LDA is used for creating the original template. Experimental results show that by integrating the proposed scheme into the LDA (original) algorithm, the system performance can be further improved by 1.1% and 4%, in terms of equal error rate, on ORL and FERET databases respectively. The results show that the proposed scheme not only can preserve the original template discriminant power, but also improve the performance if the original template is not fully optimized.

Original languageEnglish
Title of host publicationAdvances in Biometrics - International Conference, ICB 2007, Proceedings
PublisherSpringer Verlag
Pages636-645
Number of pages10
ISBN (Print)9783540745488
DOIs
Publication statusPublished - 2007
Event2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of
Duration: 27 Aug 200729 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4642 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2007 International Conference on Advances in Biometrics, ICB 2007
Country/TerritoryKorea, Republic of
CitySeoul
Period27/08/0729/08/07

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Biometric template security
  • Class distribution preserving
  • Face recognition
  • One-way transform

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