Efficient multimodal fusion for person authentication combining three biometric modalities

DOI

10.2991/csss-14.2014.34How to use a DOI?

Keywords

multimodal; biometric; MPM; fusion

Abstract

Fusion of multiple biometric modalities for person authentication can compensate for the limitations in performance of each individual biometric system. This paper proposed an efficient person authentication method based on multimodal biometric fusion at the matching score level. For score level fusion, MPM (minimax probability machine) based fusion rule is applied to combine multiple matching scores, respectively from iris, facer and palmprint, to generate a single scalar score which is used to make the final decision. Experimental results show that the performance of the proposed method can bring obvious improvement comparing to the previous multimodal methods.

Copyright

© 2014, 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  - CONF
AU  - Wang Fenghua
AU  - Zheng Qiumei
AU  - Meng Wenjie
PY  - 2014/06
DA  - 2014/06
TI  - Efficient multimodal fusion for person authentication combining three biometric modalities
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 149
EP  - 152
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.34
DO  - 10.2991/csss-14.2014.34
ID  - Fenghua2014/06
ER  -