Multimodel biometrics Fusion based on FAR and FRR using Triangular Norm

DOI

10.1080/18756891.2015.1061396How to use a DOI?

Keywords

MultiBiometrics, Score Level Fusion, False Reject Rate(FRR), False Accept Rate(FRR), triangular norms, Transfer function

Abstract

Multibiomitric systems are expected to be more accurate due to the presence of multiple evidences, score level fusion is the most commonly used approach in multibiometrics. In this paper, A novel approach is proposed for the fusion at score level fusion based on False Reject Rate(FRR) and False Accept Rate(FRR) using triangular norms(t-norms). This study aims at tapping the potential of t-norms for information fusion at first, at the second, it transfers scores into Transfer function based on corresponding FRRs and FARs, thus avoiding calculating posterior probability of a certain score. Experiment result shown that the proposed method renders very good performance as it is quite computationally and outperforms the traditional score level fusion schemes, the experimental result also confirms the effectiveness of the proposed method to improve the performance of multibiometric system.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Di Wu
AU  - Jie Cao
PY  - 2015
DA  - 2015/08/01
TI  - Multimodel biometrics Fusion based on FAR and FRR using Triangular Norm
JO  - International Journal of Computational Intelligence Systems
SP  - 779
EP  - 786
VL  - 8
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1061396
DO  - 10.1080/18756891.2015.1061396
ID  - Wu2015
ER  -