i-manager Publications

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

References

[1]. Bulka, T., Agarwal, C., & Pozdnyakov, P. (2005). Secure mobile fingerprint identification system (Bachelor of Science Thesis, School of Engineering, Santa Clara University).

[2]. Divya, D., & Padmasarath, S. (2013). Finger vein based licensing and authentication scheme using GSM. IOSR Journal of Computer Engineering, 15(3), 30-35.

[3]. Ikechukwu, O. C. (2012). Online Motor Vehicle Licensing System (Doctoral Dissertation, Caritas University).

[4]. Kumar, M., & Kumar, S. R. (2014). Fingerprint based licensing system for driving. International Journal of Advanced Research in Computer and Communication Engineering, 3.

[5]. Kumar, D., & Ryu, Y. (2009). A brief introduction of biometrics and fingerprint payment technology. International Journal of Advanced Science and Technology, 4, 25-38.

[6]. Lourde, M., & Khosla, D. (2010). Fingerprint Identification in Biometric Security Systems. International Journal of Computer and Electrical Engineering, 2(5), 852-855.

[7]. Mayhew, S. (2015, January). History of Biometrics. [Online]. Retrieved from http://www.biometricupdate. com/201501/histor y-of-biometrics [Accessed 23 February 2016].

[8]. Mudholkar, S. S., Shende, P. M., & Sarode, M. V. (2012). Biometrics authentication technique for intrusion detection systems using fingerprint recognition. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2(1), 57-65.

[9]. Ojha, A. K. (2015). ATM security using fingerprint recognition. International Journal of Advanced Research in Computer Science and Software Engineering Research Paper, 5(6), 170-175.

[10]. Prabhakar, S., Pankanti, S., & Jain, A. K. (2003). Biometric recognition: Security and privacy concerns. IEEE Security & Privacy, (2), 33-42.

[11]. Rajasekar, L., & Vivek, S. (2012). Wireless fingerprint attendance system using ZigBee technology. International Journal of Power Control Signal and Computation (IJPCSC), 3(1), 118-121.

[12]. Raut, S. D., & Humbe, V. T. (2012). Biometric palm prints feature matching for person identification. International Journal of Modern Education and Computer Science, 4(11), 61-69.

[13]. Rubella, J. A., Suganya, M., Senathipathi, K., Kumar, B. S., Gowdham, K. R., & Ranjithkumar, M. (2012, December). Fingerprint based license checking for auto-mobiles. In Advanced Computing (ICoAC), 2012 Fourth International Conference on (pp. 1-8). IEEE.

[14]. Sarkar, I., Alisherov, F., Kim, T. H., & Bhattacharyya, D. (2010). Palm vein authentication system: A review. International Journal of Control Automation, 3(1), 27-34.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.