Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5773
Title: How to measure biometric information?
Authors: Sütçü, Y.
Sencar, Hüsrev Taha
Memon, N.
Keywords: Biometric information
Relative entropy
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
https://hdl.handle.net/20.500.11851/5773
ISBN: 9780769541099
ISSN: 1051-4651
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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