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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 |
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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