O. J.Ikani, M. M. Yahaya, O. A. Sanya, L. Durojaiye


This research was conducted with the broad objective of providing solution to the traditional student attendance system to a fully-computerized and automated system. The system was designed to improve the existing method of attendance taking by introducing a biometric feature i.e., fingerprint capturing. The system was built using C# and SecuGen fingerprint reader. It has successfully been able to capture the fingerprint image of any individual within a time range of 0.2 to 0.5 seconds, differentiating each captured fingerprint from others which has been captured previously, and recording the input data, there by achieving the objectives of the study. This system has been able to circumvent the problem of drudgery and in efficiency of the conventional method of attendance taking, and it is therefore recommended that this application of biometric system be adopted and used in schools and organizational bodies to reduce impersonation that is common in the old system of verifying candidates.


SecuGen, Fingerprint, Attendance, Biometric, Automated.

Full Text:



Jacksi, Karwan& Ibrahim, Falah &Zebari, Shahab. (2018). Student Attendance Management System. International Journal of Engineering and Technology. 6. 49-53. 10.21276/sjet.2018.6.2.1.

Rood, E.P. and Hornak,L.A. (2008, Nov 11th) Are you who you say you are? Retrieved from

Jiexun L., Wang.A. And Chen H (2011). ‘Identity matching using personal and social

identity features’; 13: 101-113.

Capoor S. (2006). ‘Biometrics as a Convenience Security’, Business story, 48-50.

Dubin, C. (2011). ‘Biometrics: Hands Down’, ID Management. Security, 52-54. Retrieved from &VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1304030671&clientId=1331 4.

Kreimer, S. (2010). Matching the Right Patient to the right Record. Hospitals & Health Networks. Retrieved from 09&VName=PQ.

A. Kassem (2010) “An RFID Attendance and Monitoring System for University Applications”. IEEE International Conference on Electronics, Circuits, and Systems.

Oloyede M.O. (2013) “Fingerprint Biometric Authentication for Enhancing Staff Attendance System”. International Journal of Applied Information Systems (IJAIS). Volume 5- No. 3.

M. Basheer, C. V. Raghu (2016) “Automated Student Attendance System Using Fingerprint Recognition”. at System-using-Rahman-Rahman/300e20eb9729104dca6fe0e26006b8c575425

Marak, P., Alexander, H. (2016) “Fingerprint Recognition system using artificial neural network as feature extractor”, 117–13. DOI: 10.1515/tmmp-2016-00.

Akinduyite, C.O., Adetunmbi, A.O., Olabode, O.O., Ibidunmoye. E.O. (2013). Fingerprint-Based Attendance Management System. Journal of Computer Sciences and Applications, 1(5), 100-105.

Manvjeet Kaur, Mukvinder Singh and Parvinder S. Sindhu, “Fingerprint Verification System using Minutiae Extraction Technique”, Proceedings of World Academy of Science, Engineering and Technology, vol. 36, December2008.



  • There are currently no refbacks.

Copyright (c) 2022 International Journal of Advanced Research in Computer Science