Attendance ManagementĪttendance management is the act of managing attendance or presence in a work setting to minimize loss due to employee downtime. ![]() Sequel to this, a fingerprint-based Attendance Management System was developed to provide a faster, more secure, and more convenient method of user verification than passwords and tokens can provide for a reliable personal identification. In this paper, an attempt was made to look at the prevalence in the high level of impersonation experienced on a daily basis in both private and public sectors, the ghost worker syndrome which has become a menace across all tiers of government, employers concerns over the levels of absence in their workforce and difficulty in managing student attendance during lecture periods. The reason for the popularity of fingerprint verification is that fingerprints satisfy uniqueness, stability, permanency and easily taking. In these technologies, fingerprint becomes the most mature and popular biometrics technology used in automatic personal identification. These techniques, which use physical data, are receiving attention as a personal authentication method that is more convenient than conventional methods such as a password or ID cards because it uses data taken from measurements and such data is unique to the individual and remains so throughout one’s lifetime. īiometrics technologies verify identity through characteristics such as fingerprints, faces, irises, retinal patterns, palm prints, voice, hand-written signatures, and so on. To make the identity management system more secure and reliable for authentication, biometrics data are integrated in the attendance management systems. A secure and effective identity management system plays an important role in the successful deployment of an attendance management system. Carrying different cards and remembering passwords for different services is a significant issue for individuals and organizations. It is expected today that an individual who wants to authenticate himself for a service must have a token and/or password for example identity card, ATM card, driving license, health card and so on. Moreover, the result shows a well secured and reliable system capable of preventing impersonation. The average execution time for the developed system was 4.29 seconds as against 18.48 seconds for the existing system. The experimental result shows that the developed system is highly efficient in the verification of users fingerprint with an accuracy level of 97.4%. NET framework and Microsoft’s Structured Query Language (SQL) Server 2005 as the backend. The fingerprint-based attendance management system was implemented with Microsoft’s C# on the. During authentication, the fingerprint of the user is captured again and the extracted features compared with the template in the database to determine a match before attendance is made. The unique features called minutiae points were extracted using the Crossing Number (CN) method which extracts the ridge endings and bifurcations from the skeleton image by examining the local neighborhoods of each ridge pixel using a 3 x 3 window. During enrolment, the fingerprint of the user is captured and its unique features extracted and stored in a database along with the users identity as a template for the subject. It consists of two processes namely enrolment and authentication. This paper presents the attendance management system using fingerprint technology in a university environment. Fingerprints are a form of biometric identification which is unique and does not change in one’s entire lifetime. ![]() In recent time, there has been high level of impersonation experienced on a daily basis in both private and public sectors, the ghost worker syndrome which has become a menace across all tiers of government, employers concerns over the levels of employee absence in their workforce and the difficulty in managing student attendance during lecture periods.
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