Design of Finger-vein Capture Device with Quality Assessment using Arduino Micrcontroller

Authors

  • A.R. Syafeeza Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia
  • K. Faiz Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia
  • K. Syazana-Itqan Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia
  • Y.C. Wong Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia
  • Zarina Mohd Noh Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia
  • M.M. Ibrahim Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia
  • N.M. Mahmod Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia

Keywords:

Biometric System, Finger-vein, Arduino, Microcontroller, MATLAB,

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 Signalto-Noise Ratio (PSNR). A low cost capturing device is developed and decent quality finger-vein images are produced.

Author Biographies

A.R. Syafeeza, Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia

Senior Lecturer

Computer Engineering Department

Faculty of Electronics and Computer Engineering

K. Syazana-Itqan, Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia

Graduate Research Assistant,

Faculty of Electronics and Computer Engineering

Y.C. Wong, Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia

Senior Lecturer

Computer Engineering Department

Faculty of Electronics and Computer Engineering

Zarina Mohd Noh, Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia

Lecturer

Computer Engineering Department

Faculty of Electronics and Computer Engineering

M.M. Ibrahim, Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia

Lecturer/ Head of Department

Computer Engineering Department

Faculty of Electronics and Computer Engineering

N.M. Mahmod, Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, 76100, Melaka, Malaysia

Lecturer

Computer Engineering Department

Faculty of Electronics and Computer Engineering

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Published

2017-01-01

How to Cite

Syafeeza, A., Faiz, K., Syazana-Itqan, K., Wong, Y., Mohd Noh, Z., Ibrahim, M., & Mahmod, N. (2017). Design of Finger-vein Capture Device with Quality Assessment using Arduino Micrcontroller. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1), 55–60. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1072

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