Organizational Attendance Record System: Fraud and A Proposed Facial Recognition Technique

Abstract

The role of attendance in any organization cannot be over emphasis. Attendance Record System (ARS) is one of the tools used by organizations to track their staff`s daily attendance and performance analysis. ARS helps organizations to determine the number of their active staff, staff punctuality, preparation of monthly payroll and also in making some decisions on staff (such as staff promotion and award presentation at the end of the year). There are many ARSs with different frauds associated with each of them. This paper proposes an implementable biometric based Organization Attendance Record System(OARS) which uses the concept of facial recognition to eliminate frauds against the existing ARSs. We evaluate existing ARSs, identifying their strengths and weaknesses, identifying frauds against them and proposed a technique to eliminate these frauds. Although this study does not cover implementation of the proposed technique, details on how the system can be implemented is discussed. With the simplicity of the algorithm of our proposed system, it is our hope that decision makers in various organizations will be able to develop and implement the system through their information technology department thereby eliminating frauds associated with existing attendance record systems.