Fingerprint Based Driver’s Identification System.

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Date

2018-09-06

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Federal Univesity of Technology Minna

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 false Accept rate and false reject rate 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 on 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.

Description

This paper presents the design and development of a biometric-based driver verification system intended to replace the current manual method used by the Federal Road Safety Commission (FRSC) for identifying licensed drivers. The system utilizes an Arduino board to integrate a fingerprint scanner and an OLED display, enabling rapid and accurate identification of registered road users. Upon successful fingerprint recognition, the system displays relevant driver information such as age, name, sex, and license ID on the screen. With an average response time of 1.41 seconds and low false accept and reject rates (4% and 8% respectively based on tests with 25 individuals), the prototype demonstrates efficiency and reliability. The system’s components are affordable, readily available, and can be seamlessly integrated into the FRSC's operations, provided database access is granted, offering a practical and secure alternative to the existing analogue system.

Keywords

Arduino, finger print, biometrics, lincense

Citation

Inalegwu, O. C., Maliki, D., Agajo J., Ajawo, L. A., & Abu, A. D. (2018). Fingerprint Based Driver’s Identification System. Proceedings of the 2nd International Conference of Information and Communication Technology and Its Applications (ICTA 2018). Pp 238-242.

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