Face Recognition for Identification and Verification in Attendance System: A Systematic Review

Abstract

Attendance is an important concept to be implemented in order to enhance organizational performance. Measuring attendance may be a concern issue for many organizations, especially with the rapid changes that have occurred in this era of digitalisation. Face recognition is one of many approaches to support long distance attendance, unfortunately, there are some issues that need to be overcome regarding face recognition, for example, its verification. The purpose of this systematic literature review is to provide either academics and practitioner with insight and knowledge related to face recognition implementation, how to verify it, and what is its critical success factors towards an attendance system. Therefore, the results of this study hopes to give both practitioners and academics knowledge on how to build a relevant attendance system based on the findings of this study. The review was conducted through a systematic literature review stages that was adopted from Kitchenham. It began with declaring protocol review and ended with an analysis of the prior studies that was obtained from five relevant sources. There were 22 of 516 studies that met the criteria after several filtering stages. It is found that academic reasons are mostly used on verifying face recognition. Moreover, based on the findings, information security has been considered the most utilized security methods regarding face recognition in attendance system. Furthermore, 78% of the analysed papers stated that security issues is the most critical factors towards implementing a successful attendance system.