Design Of Finger-Vein Capture Device With Quality Assessment Using Arduino Microcontroller

Ahmad Radzi, Syafeeza and Faiz, K. and Khalid, Syazana Itqan and Wong, Yan Chiew and Mohd Noh, Zarina and Mat Ibrahim, Masrullizam and Mahmod, Noor Mazlina (2017) Design Of Finger-Vein Capture Device With Quality Assessment Using Arduino Microcontroller. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) , 9 (1). pp. 55-60. ISSN 2180-1843

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Abstract

This paper focuses on designing and developing a finger-vein capturing device by using Arduino Microcontroller. It is a device that will capture the human finger-vein image and be controlled by Arduino Microcontroller. This device is applicable for authentication, verification and identification. It uses the concept of near-infrared light (NIR) emitted by a bank of NIR Light Emitting Diodes (LEDs). The NIR penetrates the finger and then absorbed by the haemoglobin in the blood. The areas in which the NIR rays are absorbed (i.e. Veins) thus appear as dark regions in an image conveyed by a CCD camera located on the opposite side of the finger. The brightness of the NIR will be controlled automatically using Arduino Microcontroller to obtain sufficient quality of image brightness. Although the Arduino Microcontroller is more expensive than potentiometer, it is more convenient and efficient as brightness adjuster. Besides that, it is definitely a low-cost device compares to FPGA. The image captured is analyzed by using Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). A low cost capturing device is developed and decent quality finger-vein images are produced.

Item Type:	Article
Uncontrolled Keywords:	Biometric Systems; Finger-vein; Arduino; Microcontroller; MATLAB.
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electronics and Computer Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	28 May 2018 07:52
Last Modified:	09 Jul 2021 13:03
URI:	http://eprints.utem.edu.my/id/eprint/20866
Statistic Details:	View Download Statistic

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