Staff Members - Benha University
Ezdihar N. Bifari, and Lamiaa A. Elrefaei, "A Weighted Score Matching Algorithm for A Multimodal Biometric System Based on Fingerprint and Hand Geometry", Jordanian Journal of Computers and Information Technology (JJCIT), Vol. 3, No. 1, P. 1-24, April 2017, DOI: 10.5455/jjcit.71-1472524068.
Jordanian Journal of Computers and Information Technology (JJCIT) • 2017
Publication Information
Authors
Ezdihar N. Bifari, Lamiaa A. Elrefaei
Keywords
Multi-biometrics, Fusion, EER, ROC, Minutiae, Gabor filter, FFT filter, Morphological, Chain code.
Journal
Jordanian Journal of Computers and Information Technology (JJCIT)
Publisher
Not Available
Volume
3
Issue
1
Pages
1-24
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
This paper presents a multi-modal biometric system implemented using MATLAB language. The system
fused fingerprint and hand geometry at matching score level by applying a proposed modified weighted
sum rule. The fingerprint system was tested using five FVC databases and the hand geometry system was
tested using COEP database. Hence, the multi-modal system was tested by merging each FVC database
with COEP database. The experimental results show significant improvement in the multi-modal system
with an average EER of 3.27%; while it is 8.86% and 8.89% for fingerprint and hand geometry systems,
respectively.
fused fingerprint and hand geometry at matching score level by applying a proposed modified weighted
sum rule. The fingerprint system was tested using five FVC databases and the hand geometry system was
tested using COEP database. Hence, the multi-modal system was tested by merging each FVC database
with COEP database. The experimental results show significant improvement in the multi-modal system
with an average EER of 3.27%; while it is 8.86% and 8.89% for fingerprint and hand geometry systems,
respectively.