Finger Vein Recognition System Based on Multi- algorithm of Fusion of Gabor Filter and Local Binary Pattern

Finger vein is another biometric innovation that contends with other ground-breaking biometrics modalities, for example, the face, palm print, fingerprint, iris, and voice. The system used for the finger vein recognition contains 5 phases that contain data acquisition, pre-processing, feature extraction, matching and decision. In any bio-metric system, feature extraction phase is significant. The multi-algorithms for feature extraction are used. This work implies three scenarios based on Two-Dimension Gabor Filter (2DGF), Local Binary Pattern (LBP), and fusion of 2DGF+LBP for feature extraction. The experimental outputs prove that the fusion of 2DGF and LBP obtained the optimal output with a highperformance accuracy of 94.94% which improved by 0.81 % and 0.88% respectively for 2DGF and LBP when presented individually.