@inproceedings{a629028a959942f980cc2cbdfeae4894,
title = "Fuzzy evaluation of biometric authentication systems",
abstract = "This paper presents a new approach in evaluation of biometric identity verification system, which is based on three important indicators: false acceptance rate, false reject rate and failure to enroll rate. Those mentioned indicators are grouped by using fuzzy sets and linguistic variables to provide important pieces of information.",
keywords = "biometrics, evaluation, fuzzy logic, verification",
author = "Arkadiusz Banasik and Adrian Kapczy{\'n}ski",
year = "2011",
doi = "10.1109/IDAACS.2011.6072881",
language = "English",
isbn = "9781457714238",
series = "Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2011",
pages = "803--806",
booktitle = "Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems",
note = "6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2011 ; Conference date: 15-09-2011 Through 17-09-2011",
}