A Robust Vein Pattern-based Recognition System

This paper presents an efficient human recognition system which makes use of vein patterns obtained from the back of the hand. It has used a new reflection-based image capturing environment to ensure high quality images through least effort and cost. The proposed recognition system automatically detects the region of interest (ROI) from the image and does the necessary preprocessing to extract features. Extracted features from ROI are compared to obtain the matching score and to take the decision. It is tested on a data set of 4950 images collected from 990 individuals. The accuracy of the recognition system is found to be 99.11% with a false acceptance rate of 0.4%.