@inproceedings{75b91ea0b64d4cacabbf483ee0ca81a3,
title = "A modified equal error rate based user-specific normalization for multimodal biometrics",
abstract = "Previous studies have shown that the performance of a biometric authentication system can be further improved by normalizing the matching score for each claimed identity. These techniques are known as user-specific score normalizations. Following this vision, the proposed research focuses on developing a new user-specific score normalization procedure, which is based on a recently proposed EER-Norm. While in its original form, some parameters specific to a user cannot be estimated due to the limited availability of training data, especially of the genuine/client matching scores, we aims to stabilise the estimates of these parameters by using both the user-independent and user-dependent information. The proposed approach tested on the XM2VTS and BioSecure DB2 databases is shown to outperform the existing known score normalization ones, such as Z-, EER-, and F-Norms in the majority of experiments.",
keywords = "Biometric authentication, EER-Norm, F-Norm, Score normalization, Z-Norm",
author = "Tran, {Quang Duc} and Panos Liatsis",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 2013 6th International Conference on Developments in eSystems Engineering, DeSE 2013 ; Conference date: 16-12-2013 Through 18-12-2013",
year = "2013",
month = feb,
day = "11",
doi = "10.1109/DeSE.2013.58",
language = "British English",
series = "Proceedings - 2013 6th International Conference on Developments in eSystems Engineering, DeSE 2013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "286--290",
editor = "Abir Hussain and Roxana Radvan and Naeem Radi and {Al Jumeily}, Dhiya and Hissam Tawfik",
booktitle = "Proceedings - 2013 6th International Conference on Developments in eSystems Engineering, DeSE 2013",
address = "United States",
}