Vascular biometrics, including finger vein recognition, is growing both in terms of academic research and industrial systems deployed in real life. In this paper, 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, 3D models for the 3D 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 HTER = 2.8%, using stateof-the-art Maximum Curvature/Miura Match pipeline, which is a promising indicator for the viability of the proposed concept and further research.

Eglitis, T., Maiorana, E., Campisi, P. (2023). Open-Source Finger Vein Acquisition Device for Biometric Applications. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 1-1 [10.1109/TIM.2023.3324681].

Open-Source Finger Vein Acquisition Device for Biometric Applications

Eglitis, Teodors;Maiorana, Emanuele
;
Campisi, Patrizio
2023-01-01

Abstract

Vascular biometrics, including finger vein recognition, is growing both in terms of academic research and industrial systems deployed in real life. In this paper, 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, 3D models for the 3D 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 HTER = 2.8%, using stateof-the-art Maximum Curvature/Miura Match pipeline, which is a promising indicator for the viability of the proposed concept and further research.
2023
Eglitis, T., Maiorana, E., Campisi, P. (2023). Open-Source Finger Vein Acquisition Device for Biometric Applications. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 1-1 [10.1109/TIM.2023.3324681].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/456627
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