How to measure biometric information?

Yagiz Sutcu, Husrev T. Sencar, Nasir Memon

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

Abstract

Being able to measure the actual information content of biometrics is very important but also a challenging problem. Main difficulty here is not only related to the selected feature representation of the biometric data, but also related to the matching algorithm employed in biometric systems. In this paper, we propose a new measure for measuring biometric information using relative entropy between intra-user and interuser distance distributions. As an example, we evaluated the proposed measure on a face image dataset.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages1469-1472
Number of pages4
DOIs
StatePublished - Nov 18 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: Aug 23 2010Aug 26 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period8/23/108/26/10

Keywords

  • Biometric information
  • Relative entropy

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Sutcu, Y., Sencar, H. T., & Memon, N. (2010). How to measure biometric information? In Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (pp. 1469-1472). [5597172] (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2010.363