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Reseach Article

Feature Level Fusion the Performance of Multimodal Biometric Systems

by Harbi AlMahafzah, Ma'en Zaid AlRawashdeh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 11
Year of Publication: 2015
Authors: Harbi AlMahafzah, Ma'en Zaid AlRawashdeh
10.5120/ijca2015905600

Harbi AlMahafzah, Ma'en Zaid AlRawashdeh . Feature Level Fusion the Performance of Multimodal Biometric Systems. International Journal of Computer Applications. 123, 11 ( August 2015), 37-43. DOI=10.5120/ijca2015905600

@article{ 10.5120/ijca2015905600,
author = { Harbi AlMahafzah, Ma'en Zaid AlRawashdeh },
title = { Feature Level Fusion the Performance of Multimodal Biometric Systems },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 11 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number11/22006-2015905600/ },
doi = { 10.5120/ijca2015905600 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:12:28.293670+05:30
%A Harbi AlMahafzah
%A Ma'en Zaid AlRawashdeh
%T Feature Level Fusion the Performance of Multimodal Biometric Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 11
%P 37-43
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposed the use of multimodal feature-level fusion to prove the improvement performance of multimodal authentication. Different algorithm used for features extraction, LG for extracting FKP features, LPQ for iris and Palmprint features extraction, and PCA for extracting face features. Results brought to light that the multimodal authentication process gained higher performance than single modality. The biometric performance using feature-level fusions under “Z-score”, “Tanh”, “Median”, and Min-Max normalization has been demonstrated in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Feature Level Fusion Multibiometric Multimodal LPQ PCA Log-Gabor.