Please use this identifier to cite or link to this item:
|Title:||How to measure biometric information?||Authors:||Sütçü, Y.
Sencar, Hüsrev Taha
|Issue Date:||2010||Source:||2010 20th International Conference on Pattern Recognition, ICPR 2010, 23 August 2010 through 26 August 2010, Istanbul, 82392||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. © 2010 IEEE.||URI:||https://doi.org/10.1109/ICPR.2010.363
|Appears in Collections:||Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering|
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show full item record
checked on Sep 23, 2022
checked on Dec 26, 2022
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.