A study on the individuality of finger vein based on statistical analysis

Abstract

Biometric recognition requires that the biometric characteristics used for the verification should be unique among individuals. The purpose of this study is to verify the individuality of finger vein, a new trait with superiority on accuracy and security. To carry out the research, we construct a large-scale finger vein database consisting of 710,399 images from 363,703 fingers. We adopt a score level fusion strategy to reduce the negative impact of algorithm deficiencies. We also design a distributed computing system for more than 83 billion impostor comparisons. The experimental results demonstrate that finger vein is sufficiently unique to distinguish one person from another in such scale.