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

Ahmad Anshari, Sulistyo Aris Hirtranusi, D. I. Sensuse, Kautsarina, Ryan Randy Suryono
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引用次数: 2

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.
人脸识别技术在考勤系统中的应用综述
出勤是提高组织绩效的一个重要概念。衡量出勤率可能是许多组织关心的问题,尤其是在这个数字化时代发生的快速变化。人脸识别是支持远程出勤的众多方法之一,不幸的是,人脸识别有一些问题需要克服,例如,它的验证。本系统文献综述的目的是为学者和从业者提供与人脸识别实现相关的见解和知识,如何验证它,以及它对考勤系统的关键成功因素是什么。因此,本研究的结果希望能对如何根据本研究的结果建立相关的考勤制度提供实务人员和学术界的知识。本综述通过采用Kitchenham的系统文献综述阶段进行。它以宣布方案审查开始,并以对从五个相关来源获得的先前研究的分析结束。经过几个筛选阶段,516项研究中有22项符合标准。研究发现,在验证人脸识别的过程中,学术界的原因较多。此外,基于研究结果,信息安全被认为是考勤系统中人脸识别应用最多的安全方法。此外,78%的分析论文指出,安全问题是成功实施考勤系统的最关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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