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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 7, 2013.
Abstract: Multimodal biometric systems which fuse information from a number of biometrics, are gaining more attentions lately because they are able to overcome limitations in unimodal biometric systems. These systems are suited for high security applications. Most of the proposed multibiometric systems offer one level of security. In this paper a new approach for adaptive combination of multiple biometrics has been proposed to ensure multiple levels of security. The score level fusion rule is adapted using (PSO) Particle Swarm Optimization to ensure the desired system performance corresponding to the desired level of security. The experimental results prove that the proposed multimodal biometric system is appropriate for applications that require different levels of security.
Ola M. Aly, Tarek A. Mahmoud, Gouda I. Salama and Hoda M. Onsi, “An Adaptive Multimodal Biometrics System using PSO” International Journal of Advanced Computer Science and Applications(IJACSA), 4(7), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040722
@article{Aly2013,
title = {An Adaptive Multimodal Biometrics System using PSO},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040722},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040722},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Ola M. Aly and Tarek A. Mahmoud and Gouda I. Salama and Hoda M. Onsi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.