@inproceedings{7f62734361894484977d033f11b3c333,
title = "How to measure biometric information?",
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.",
keywords = "Biometric information, Relative entropy",
author = "Yagiz Sutcu and Sencar, \{Husrev T.\} and Nasir Memon",
year = "2010",
doi = "10.1109/ICPR.2010.363",
language = "English",
isbn = "9780769541099",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1469--1472",
booktitle = "Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010",
address = "United States",
}