Title: Finger vein biometric scanner design using Raspberry Pi

Authors: Sara Daas; Amira Yahi; Mohamed Boughazi; El-Bay Bourennane

Addresses: Laboratory of LERICA, Badji Mokhtar Annaba University, Annaba, Algeria ' Laboratory of LERICA, Badji Mokhtar Annaba University, Annaba, Algeria ' Laboratory of LERICA, Badji Mokhtar Annaba University, Annaba, Algeria ' Laboratory of ImVia, University Bourgogne Franche-Comté, Dijon, France

Abstract: Finger vein biometric systems gained a lot of attention in recent years due to the increasing demand for high-security systems. The biometric device captured the human finger vein image and used it for security such as authentication, verification and identification. Most of the existing finger vein capturing devices are not suitable for any research development because of their private verification software. For that reason, this paper focuses on designing and developing a finger vein biometric system based on an Arduino and Raspberry Pi board. The proposed finger vein device is based on near-infrared light (NIR). The Arduino microcontroller is used to automatically control the brightness and determine the impact of NIR lighting on the captured images Raspberry Pi board commanded in all external peripherals of the system. The effectiveness of the proposed design has been evaluated using objective image quality assessment (IQA) metrics, i.e., MSE, PSNR, IQI, AD, NK, SC, MD, LMSE and NAE. Experimental results improve high performance with an MSE increase of 61.39% and an important PSNR reaching 33.73% compared with the existing state-of-the-art designs.

Keywords: finger vein; Arduino; Raspberry Pi; near-infrared light; NIR; two-dimensional entropy; pulse width modulation; PWM; image quality assessment; IQA.

DOI: 10.1504/IJCSYSE.2021.121358

International Journal of Computational Systems Engineering, 2021 Vol.6 No.5, pp.231 - 238

Received: 02 Nov 2020
Accepted: 14 May 2021
Published online: 07 Mar 2022 *

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