• Debrah Joshua Osei The University of Energy and Natural Resources, Sunyani-Ghana
  • Alfred Elolo Konglo IT Directorate, Ho Technical University, Ghana.
  • Mohammed Issah Adinkrah Dept. of Computer Science and Informatics, the University of Energy and Natural Resources, Sunyani-Ghana.
  • Lord Anertei Tetteh Dept. of Electrical and Telecommunication engineering, Koforidua Technical University, Ghana.
  • Kojo Boakye Dept. of Computer Science and Informatics, the University of Energy and Natural Resources, Sunyani-Ghana.
  • Abigail Mba Dept. of Computer Science and Informatics, the University of Energy and Natural Resources, Sunyani-Ghana.
  • Victoria Quansah Dept of Education, Catholic University College, Fiapre-Ghana
Keywords: Fingerprint, Biometric Data, Employee Attendance, Employee Clocking System, Truancy Of Employees


A system that is used for time-clocking, creating an all-inclusive electronic record of the process involved in how employees logs in and out of work on working days are referred to as a clocking system. The system has an additional feature of calculating an accurate payroll system, which in turn, can lead to a precise amount the company spent on labour. In essence, an employee clocking system is a process of monitoring the attendance, presence and truancy of employees in a work environment. In this project, the University of Energy and Natural Resources was used as a case study. The existing method of recording the presence of staff to work is by a manual process where employees record their attendance on a paper. The challenge of the current employee attendance system is the difficulty in tracing old records, safekeeping, lack of confidentiality and the chances of other employees logging in for their truant colleagues. This paper sought to introduce a biometric employee clocking system to help overcome the high level of truancy in workplaces. The results of the experiment we conducted indicate a high accuracy in our system with TAR value of 99.7%. This accuracy rate is much better than the results other researchers obtained. The excellent accuracy implies that employees will have difficulty to check-in or out for their truant colleagues. The high accuracy results will help improved security of attendance, improved employee performance, ensures fast and easy retrieval of data, easy monitoring of staff, and prevent impersonation in the attendance logs.


Download data is not yet available.


Abhilash K. Sharma, (2015). Biometric System – A Review. International Journal of Computer Science and Information Technologies, September, 2015.

Acuity Market Intelligence (2008). Biometrics: high-value workforce management: The critical role of biometric time and attendance to workforce management solutions, White Paper, February 2018.

W. Yang, J. Hu, and S. Wang, "A Delaunay quadrangle-based fingerprint authentication system with template protection using topology code for local registration and security enhancement," IEEE Trans. Inf. Forensics Security, vol. 9, no. 7, pp. 1179–1192, Jul. 2017.

Tan, T. N., & Lee, H. (2019). High-secure fingerprint authentication system using ring-LWE cryptography. IEEE Access, 7, 23379-23387. DOI:

Pang, S., Jinchun, Y. E., Xu, H., & Li, H. (2019). U.S. Patent No. 10,496,804. Washington, DC: U.S. Patent and Trademark Office.

Harikrishnan, D., Sunil Kumar, N., Joseph, S., & Nair, K. K. (2019). Towards a fast and secure fingerprint authentication system based on a novel encoding scheme. The International Journal of Electrical Engineering & Education, 0020720919883803. DOI:

Liu, F., Zhao, Q., & Zhang, D. (2020). 3D Fingerprint Authentication. In Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail (pp. 33-57). Springer, Singapore.

Adewole K., Adbulsalam S., Babatunde R., Shittu T. & Olotede M. (2014). Development of finger biometric attendance system for non-academic staff in a tertiary institution. Computer Engineering and Intelligent Systems Review, 5, 2.

Akinduyite C.O, Adetunmbi A.O, Olabode O.O. & Ibidunmoye E.O, (2013) Fingerprint-based attendance management system. Journal of Computer Sciences and Applications, 2013, 1(5), 100-105

Cupido, (2011). The implementation of a time and attendance system at Stellenbosch Municipality – a change management perspective masters project in public administration. University of Stellenbosch.

Danny Thakkar (2019). Biometric System, Biometrics Comparison – biometrics performance metrics can help you select the right biometric solution (2017). 11 Basic Patterns of Fingerprint. [online] Available at: Basic Patterns of Fingerprint / [Accessed 17 July. 2017].

Krishna Prasad, K. and Aithal, P. S. (2017). A Conceptual Study on User Identification and Verification Process Using Face Recognition Techniques. International Journal of Applied Engineering and Management Letters.

Krishna Prasad, K. and Aithal, P. S. (2017). Literature Review on Fingerprint Level 1 and Level 2 Features Enhancement to Improve Quality of Image. International Journal of Management, Technology and Social Sciences (I.J.M.T.S.), 2(2), 8.19. DOI:

Kuntal Barua, Samayita Bhattacharya, Kalyani Mali (2015). Fingerprint Identification, April,2015.

Karani, K. P., Aithal, P. S. (2017). A Conceptual Study on Image Enhancement Techniques for Fingerprint Images. International Journal of Applied Engineering and Management Letters (I.J.A.E.M.L.) ,1(1), 63-72. DOI:

Obansola O. Yemi, Makinde O. Ezekiel, Adeshina A. Henry & Adebayo O. Bunmi (2016) Development of Staff Attendance Management System Using Fingerprint Biometric Identification Technique, November, 2016. DOI:

Omobayo, A. (2015). Optimization of bimodal biometrics system for access control authentication in Kenya, School of Computing, College of Science, Engineering and technology, University of South Africa.

Ononiwu G. C.& Okorafor, G. N (2012). Radio frequency identification-based attendance system with automatic door unit. Academic Research International, 2(2), March, 2012.

Appiah, V., Nti, I. K., & Nyarko-Boateng, O. (2017). Investigating Websites and Web Application Vulnerabilities: Web master's Perspective. International Journal of Applied Information Systems (I.J.A.I.S.) – ISSN: 2249-0868 Foundation of Computer Science F.C.S., New York, U.S.A. Volume 12 – No. 3, June 2017. I.J.A.I.S. Publications.

Vincent Appiah, Michael Asante, Isaac Kofi Nti and Owusu Nyarko-Boateng (2018). Survey of Websites and Web Application Security Threats Using Vulnerability Assessment. Journal of Computer Science 2018. Science Publication. 2019, 15 (10): 1341.1354. DOI: 10.3844/jcssp.2019.1341.1354. DOI:

Nyarko-Boateng, O., Asante, M., & Nti, I. K. (2017). Implementation of Advanced Encryption Standard Algorithm with Key Length of 256 Bits for Preventing Data Loss in an Organization. International Journal of Science and Engineering Applications, volume 6 Issue 3, 2017. p88-94. ISSN-2319-7560. I.J.S.E.R. Publications

Owusu Nyarko-Boateng, Benjamin A. Weyori and Lord Anertei Tetteh (2020). Optimized Authentication Model for Online Transaction Payments. Science publications- Journal of Computer Science. Volume 16, Issue 2. Pages 225-234. DOI: 10.3844/jcssp.2020.225.234 DOI:

Owusu Nyarko-Boateng, Alfred Kuranchie and Justice Anning (2017). The Relevance of E-Library Facility to the Delivery of Education at the High School: An Example from Ghana. International Journal of Scientific & Engineering Research. Vol 8, Issue 5, p 910-918. ISSN 2229-5518. I.J.S.E.R. Publications.

Nyarko-Boateng, O., & Adekoya, A. F. (2019). Evaluation and analysis of key performance indicators which affect the QoS of mobile call traffic. International Journal of Computer Networks (I.J.C.N.), 9 (1), 14-30

How to Cite
Osei, D. J., Konglo, A. E., Adinkrah, M. I., Tetteh, L. A., Boakye, K., Mba, A., & Quansah, V. (2020). FINGERPRINT EMPLOYEE CLOCKING SYSTEM FOR UNIVERSITIES. International Journal of Engineering Technologies and Management Research, 7(11), 69-76.