You are in:Home/Publications/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.

Prof. lamiaa Elrefaei :: Publications:

Title:
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.
Authors: Ezdihar N. Bifari, Lamiaa A. Elrefaei
Year: 2017
Keywords: Multi-biometrics, Fusion, EER, ROC, Minutiae, Gabor filter, FFT filter, Morphological, Chain code.
Journal: Jordanian Journal of Computers and Information Technology (JJCIT)
Volume: 3
Issue: 1
Pages: 1-24
Publisher: Not Available
Local/International: International
Paper Link:
Full paper lamiaa Elrefaei_1-DOI 10.5455-jjcit.71-1472524068.pdf
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.

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