There is a growing need for mobile authentication solutions. Biometric recognition systems provide several advantages over conventional knowledge and token based solutions. Especially the use of vascular patterns as a biometric trait gains more and more attention. We present a near-infrared illumination add-on for smartphone devices which allows to capture the vascular pattern of the hands (hand-veins). This device is connected and controlled via Bluetooth and customised for the Nexus 5 smartphone but can be easily adopted to fit other models too. Due to the inherent risk of fraudulent authentication attempts on a nontrusted platform like a smartphone, we propose a challenge-response approach to ensure the authenticity of the captured hand-vein images. A hand-vein data set comprising of 31 subjects and 920 images in total is acquired with the presented device. A performance evaluation utilising different hand-vein recognition schemes is conducted to show the applicability of our device and the proposed challenge-response approach.
Qi ZhuZheng ZhangNingzhong LiuHan Sun
Pham Van QuanPhan Nguyen NhueLe Duy TuanLe Hoang HaiLe Anh TuNguyên Thuận ĐàoTa Van Duong
Xiulian ChenMeizhen HuangYuchao Fu
Collins C. RakowskiThirimachos Bourlai
Xu JiaJianjiang CuiDingyü XueFeng Pan