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LBPH-Based Face Recognition System for Attendance Management

机译:基于LBPH的考勤管理人脸识别系统

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摘要

Facial recognition is the mostly used biometric technique for identification and acknowledgment of people automatically. This technology is widely used in fields, such as surveillance systems, criminal identification, law enforcement and banking. On the other hand, facial recognition systems do not need any direct contact and acceptance of the person/user. Surveillance cameras at various locations have helped to identify crimes/criminals. Also, this technology can be further used for many user-friendly applications like finding the participations of people at various programs, attendance monitoring at workplaces, universities/colleges, to restrict unauthorized entries, etc. Traditional manual attendance marking as well as biometric fingerprint methods is a time-taking procedure for instructors as well as students in academic fields. This paper discusses about the usage of facial recognition technique to label the participation of the student automatically. To reduce the faults of other systems, face recognition system using LBPH is implemented.
机译:面部识别是用于自动识别和确认人的最常用的生物识别技术。该技术广泛应用于监视系统,犯罪识别,执法和银行业等领域。另一方面,面部识别系统不需要任何人/用户的直接接触和接受。各地的监视摄像机有助于识别犯罪/罪犯。此外,该技术还可用于许多用户友好的应用程序,例如查找人们在各种计划中的参与,在工作场所,大学/学院的出勤监控,限制未经授权的进入等。传统的手动出勤标记以及生物指纹识别方法对于教师和学术领域的学生来说,这是一个耗时的过程。本文讨论了使用面部识别技术来自动标记学生的参与的方法。为了减少其他系统的故障,实现了使用LBPH的人脸识别系统。

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