Fingerprint Based Driver's Identification System

Inalegwu O. C.*, Maliki D. **, Agajo J.***, Ajao L. A.****, Abu A. D. *****
*-**Research Scholar, Department of Computer Engineering, Federal University of Technology, Minna, Nigeria.
***Lecturer, Department of Computer Engineering, Federal University of Technology Minna, Nigeria.
****Research Associate, Department of Computer Engineering, Ahmadu Bello University, Zaria, Nigeria.
*****ICT Instructor, Air Force Military School, Jos, Nigeria.
Periodicity:June - August'2018
DOI : https://doi.org/10.26634/jpr.5.2.15730

Abstract

This design work presents a proposed replacement to the current system used by the Federal Road Safety Commission (FRSC) for checking licensed/unlicensed drivers. It gives a faster and less tedious way of identifying registered and licensed road users using biometric captures. The system employs the use of an Arduino board to control and process the functioning of other peripherals: the fingerprint scanner and the Organic Light Emitting Diode (OLED) screen connected to it to achieve its purpose. The prototype system developed was able to displays driver's information on the OLED screen (Age, Name, Sex and License ID); the average response time of the system was also calculated to be 1.41 seconds, which is a good response time considering the system in question. The tested false acceptance rate and false rejection rates were relatively low (after a sample test with 25 individuals); at 4% and 8% respectively. Also, for its implementation, the components are readily available, relatively cheap and the system is one that can be easily adopted by the FRSC if access to their already existing database is granted. Consequently, it is safe to say that the developed system measured up to the design expectations; it meets the aim of a proposed replacement for the present analogue and easy to beat system employed by the FRSC.

Keywords

Arduino, Fingerprint, Biometrics, License

How to Cite this Article?

Inalegwu, O. C., Maliki, D., Agajo, J., Ajao, L. A., and Abu, A. D (2018). Fingerprint Based Driver's Identification System. i-manager’s Journal on Pattern Recognition, 5(2),30-36. https://doi.org/10.26634/jpr.5.2.15730

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