부산대학교 도서관

Vascular biometrics, including finger-vein recognition, are growing both in terms of academic research and industrial systems deployed in real life. In this article, we present an effective, portable, low-cost, and fully open-source finger-vein data acquisition system: the schematics, printed circuit board (PCB) Gerber and drill files, 3-D models for the 3-D printed case, device software and control, and data collection software for PC are made available. We have collected a test database consisting of 30 people/180 class finger-vein images and obtained preliminary recognition results with half-total error rate (HTER) = 2.8%, using state-of-the-art maximum curvature (MC)/Miura matching (MM) pipeline, which is a promising indicator for the viability of the proposed concept and further research.