Enhanced attendance Management System: A Biometrics System of Identification Based on Fingerprint
Happy Nkanta Monday, Ifeanyi D. Dike, Jian P. Li, David Agomuo, Grace Ugochi Nneji, Abel Ogungbile · 2018
lately, there has been a high level of impersonation experienced on a daily basis in private and public sectors. Biometrics is anything and everything that can be measured in a human being. Fingerprints are a form of biometrics identification which is unique and does not change in one's entire lifetime. This paper presents an enhanced attendance management system using fingerprint system in a university environment. It was developed using the waterfall methodology. This system consists of two procedures; enrolment and identification. During the enrollment, the fingerprint of a person is captured and its unique features extracted and stored in the database along with the user's data as template for the subject. During identification, the fingerprint of the person is again captured and the extracted feature is compared with the template in the database in a ratio 1: N-templates, to identify a match (a user) before attendance is made. The enhanced attendance management system was implemented with Java programming language on a Net Beans IDE framework. The identification mode operates each day of attendance, the fingerprint image is extracted from an individual and the system conducts a one-to-many comparison to establish an individual identity (or fails if the subject is not enrolled in the system database) with the subject having to claim an identity. The results of the system show that the proposed method is secured, reliable, and capable of averting impersonation.