Research Article
On Comparing Verification Performances of Multimodal Biometrics Fusion Techniques
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 33 - Issue 7 |
| Published: November 2011 |
| Authors: Romaissaa Mazouni, Abdellatif Rahmoun |
10.5120/4033-5774
|
Romaissaa Mazouni, Abdellatif Rahmoun . On Comparing Verification Performances of Multimodal Biometrics Fusion Techniques. International Journal of Computer Applications. 33, 7 (November 2011), 24-29. DOI=10.5120/4033-5774
@article{ 10.5120/4033-5774,
author = { Romaissaa Mazouni,Abdellatif Rahmoun },
title = { On Comparing Verification Performances of Multimodal Biometrics Fusion Techniques },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 33 },
number = { 7 },
pages = { 24-29 },
doi = { 10.5120/4033-5774 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Romaissaa Mazouni
%A Abdellatif Rahmoun
%T On Comparing Verification Performances of Multimodal Biometrics Fusion Techniques%T
%J International Journal of Computer Applications
%V 33
%N 7
%P 24-29
%R 10.5120/4033-5774
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Fusion of matching scores of multiple biometric traits is becoming more and more popular and is a very promising approach to enhance the system's accuracy. This paper presents a comparative study of several advanced artificial intelligence techniques (e.g. Particle Swarm Optimization, Genetic Algorithm, Adaptive Neuro Fuzzy Systems, etc...) as to fuse matching scores in a multimodal biometric system. The fusion was performed under three data conditions: clean, varied and degraded. Some normalization techniques are also performed prior fusion so to enhance verification performance. Moreover; it is shown that regardless the type of biometric modality , when fusing scores genetic algorithms and Particle Swarm Optimization techniques outperform other well-known techniques in a multimodal biometric system verification/identification.
References
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