A study on the individuality of finger vein based on statistical analysis
Yapeng Ye, He Zheng, Liao Ni, Shilei Liu, Wenxin Li · 2016
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.