Greener Journal of Science, Engineering and Technology Research

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Obansola et al

Greener Journal of Science, Engineering and Technological Research Vol. 6 (3), pp. 055-069, November 2016.

ISSN: 2276-7835 © 2016 Greener Journals

Research Paper

Manuscript Number: 101916185


(DOI: http://doi.org/10.15580/GJSETR.2016.3.101916185)

 

Development of Staff Attendance Management System using Fingerprint Biometric Identification Technique

 

1*Obansola Oluwatoyin Yemi, 2Makinde Oladayo Ezekiel,

3Adeshina Adesoji Henry, 4Adebayo Oyeronke Bunmi                                   


Abstract


Attendance management is the act of managing attendance or presence in a work setting. Considering an academic institute, the conventional method of taking staff attendance is by signing on paper is very time consuming and insecure, hence inefficient. Maintaining these records for a long time adds to the difficulty of the task.

In lieu of this, an efficient system is proposed to solve the problem of manual attendance. In this research work, staff attendance is taken electronically with the help of a fingerprint Biometric system, and all the records are saved for subsequent operations. Fingerprints are considered to be the best and fastest method for biometric identification because they are secure to use, unique for every person and do not change in one's lifetime.

Staff attendance management system using fingerprint biometric identification technique employs an automated system to calculate staff attendance in lecture rooms in an institution and do further calculations of daily and monthly attendance summary in order to reduce human errors during calculations. In essence, this system can be employed in curbing the problems of tardiness or lateness of lecturers to lecture rooms, impersonation and missing lecture periods in any institution. The system will also improve the productivity of any institution if properly implemented.

 

Keywords: Biometric, Attendance Management System, Fingerprints, Softwaer, Database, Authentication, Microsoft SQL server, .Net Framework.

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