Extracting sclera features for cancelable identity verification

Kangrok Oh, Kar Ann Toh

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

24 Citations (Scopus)

Abstract

In this paper, we propose a novel sclera template generation, manipulation, and matching scheme for cancelable identity verification. Essentially, a region indicator matrix is generated based on an angular grid reference frame. For binary feature template generation, a random matrix and a local binary patterns (LBP) operator are utilized. Subsequently, the template is manipulated by user-specific random sequence attachment and bit shifting. Finally, matching is performed by a normalized Hamming distance comparison. Some experimental results on UBIRIS v1 database are included with discussion.

Original languageEnglish
Title of host publicationProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012
Pages245-250
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 5th IAPR International Conference on Biometrics, ICB 2012 - New Delhi, India
Duration: 2012 Mar 292012 Apr 1

Publication series

NameProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012

Other

Other2012 5th IAPR International Conference on Biometrics, ICB 2012
CountryIndia
CityNew Delhi
Period12/3/2912/4/1

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computer Science Applications

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  • Cite this

    Oh, K., & Toh, K. A. (2012). Extracting sclera features for cancelable identity verification. In Proceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012 (pp. 245-250). [6199815] (Proceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012). https://doi.org/10.1109/ICB.2012.6199815