Finger vein recognition by combining local and global feature
Ying Yang, Yilong Yin, Gongping Yang, Xiaoming Xi · Computer Engineering and Applications Journal · 2012
Finger vein recognition uses the unique of finger vein patterns to identify individual at high security and convenience.To further improve recognition performance,this paper presents a method that combines both of local and global feature of finger vein image.It extracts the local feature of a user's finger vein image using Local Binary Pattern(LBP)algorithm and gets matching score with Hamming distance.It uses bi-direction two dimensional Principal Component Analysis((2D)2PCA)to extract the global feature of the finger vein image and gets matching score with Euclidean distance.It fuses the two matching scores at score level and makes the decision.Experimental results show that the local feature and the global feature of finger vein image have complementarities,and the recognition accuracy is effectively improved.