A bimodal biometric verification system based on fingerprint and face

The main algorithms of two single-mode identification systems, based on face and fingerprint were introduced respectively. In fingerprint identification subsystem, the improved algorithm of OPTA (One-pass Thinning Algorithm) was applied to thinning binary image of the fingerprint image. Then, the feature images were matched by the Hough transform. And in the face identification subsystem, a method that a way of feature extraction based on 2D Gabor filter combined with the 3D face matching algorithm was applied. And then, one bimodal biometrics fusion system was proposed. The linear fusion approach of the matching fraction for each subsystem was applied in decision-making level. The experimental results demonstrate that the established system worked safely with low false acceptance rate (FAR) and acceptable false rejection rate (FRR).