|
ISSN: 2360-7858 |
International
Journal of Academic Library and Information Science |
||||||||||||||||||
|
Vol. 8(6), pp. 196–203, July, 2020. ISSN: 2360-7858 DOI: 10.14662/IJALIS2020.210
Research
Automated Students’ attendance System Based on Fingerprint Recognition using Minutia
Akanbi, M.B1, Abdulrahaman, S.B2, Abiodun, E.T3
123 Institute of Information and Communication Technology, Department of Computer Science, Kwara State Polytechnic, Ilorin. Corresponding author’s (Akanbi, M.B1) E-mail: akanbiforu@gmail.com E-mail: billy4us@gmail.com, etabiodun1492@gmail.com
Accepted 14 July 2020
The increase in students’ population in most institution of learning has made the use of manual attendance sheets unmanageable and difficult. The Traditional methods of attendance waste time and make standing-in for each other easy for students. The use of biometric authentication in managing attendance is therefore gaining popularity as it eradicates these problems and avoids impersonation. In this research, Minutia based fingerprint recognition algorithm was used to develop students’ attendance Monitoring System. Minutia algorithm was used to locate minutiae points and map their relative positions on the finger for recognition. As the fingerprint is recognized, attendance is marked in the database corresponding to the matched fingerprint. If an unknown fingerprint is detected, the result shows no match found. The system was implemented using C++, PHP and MySql. As Minutia method may not recognize low quality image, future work can hybridize other fingerprint recognition algorithms with Minutia method for better performance.
Keywords:fingerprint recognition, feature extraction, Minutia algorithm
Cite This Article As: Akanbi, M.B., Abdulrahaman, S.B., Abiodun, E.T(2020). Automated Students ‘attendance System Based on Fingerprint Recognition using Minutia.Inter. J. Acad. Lib. Info. Sci. 8(6): 196-203 |
|||||||||||||||||||
|
|||||||||||||||||||
