https://jjcit.org/paper/21 10.5455/jjcit.71-1472524068 Ezdihar N. Bifari,Lamiaa A. Elrefaei Multi-biometrics,Fusion,EER,ROC,Minutiae,Gabor filter,FFT filter,Morphological,Chain code 5662 1878 2016-08-30 2016-11-04 2016-12-05 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.