Fusion of Multi-finger Vein Based on Fisher Criterion

To improve the single-feature finger vein recognition,multi-feature fusion technology can be utilized not only to improve recognition rate,but also reduce false accept rate.In this paper a new fusion algorithm based on Fisher discriminant criterion is proposed for finger vein recognition.In the proposed algorithm,the forward mean Hausdorff distance(FMHD) and reverse mean Hausdorff distance(RMHD) between the feature points of the enrolled finger vein and those being matched are first computed.Then Fisher criterion is employed to determine the fusion parameters of FMHD and RMHD,with which FMHD and RMHD are fused to generate a new matching score for recognition finger vein.To improve the recognition rate,we further integrate three finger veins(i.e.index finger,middle finger and ring finger) using the proposed new matching score.Experiments demonstrate that the fusion of FMHD and RMHD has a better performance than traditional FMHD matching score,and the integration of three finger veins leads to a significant decrease of false accept when compared to the single finger vein recognition.