On Generation and Analysis of Synthetic Finger-Vein Images for Biometrics Identification
Fieke Hillerström, Ajay Kumar · 2014
The finger-vein biometric offers a higher degree of security, personal privacy and strong anti- spoofing capabilities than most other biometric modalities employed today. Emerging privacy concerns with the database acquisition and lack of availability of large scale finger-vein databases have posed challenges in exploring this technology for large scale applications. This technical report details the first such attempt to synthesize finger-vein images and presents analysis of synthesized images for the biometrics authentication. We generate a database of 50,000 finger-vein images, corresponding to 5000 different subjects, with 10 different synthesized finger-vein images from each of the subject. We use tractable probability models to compare synthesized finger-vein images with the real finger-vein images for their image variability. This report also presents matching accuracy of a biometric recognition algorithm, using the synthesized finger-vein database from 5000 different subjects, using 225,000 genuine and 1249,750,000 impostor matching scores, which suggests significant promises from this finger-vein biometric modality for large scale biometrics applications. This research also developed a user-friendly software to synthesize finger-vein image databases, which could help to advance further research in finger-vein biometrics.