Face Recognition-Based Automated Attendance System
Traditionally student attendance in institutes is taken manually on attendance sheets. This is not a very efficient method because it is susceptible to proxy attendance of absent students. This paper implements an Automatic Attendance System based on face
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Abstract Traditionally student attendance in institutes is taken manually on attendance sheets. This is not a very efficient method because it is susceptible to proxy attendance of absent students. This paper implements an Automatic Attendance System based on face recognition that marks the presence of students by detecting their faces against its trained set, from the image of everyone sitting in the classroom. Camera fixed in the classroom captures the faces of everyone present there and submits those images to this system, which then processes them to detect and identify individual faces and mark their attendance for that class in the master database. Haar Cascade classifier has been used to detect faces by capturing features on the images like eye, nose etc. This system is accurate and prevents any fake attendance. The proposed method is evaluated against principal component analysis (PCA) and other techniques like the local binary patterns histogram (LBPH). It is observed that the accuracy of the proposed system is better than those of the latter ones. Keyword Face Recognition · Attendance · Haar Cascade
1 Introduction Recognition of human face is an important area in several disciplines including security, authentication, attendance, etc. It is currently used in human–computer interaction, monitoring, detection systems, and other such applications to name a few. Every college or university use different method to keep record of the students who attended a lecture be it manual or automated. In manual attendance system, teachers K. Shah (B) · D. Bhandare · S. Bhirud Veermata Jijabai Technological Institute (VJTI), H. R. Mahajani Road, Matunga, Mumbai 400019, India e-mail: [email protected] D. Bhandare e-mail: [email protected] S. Bhirud e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2021 D. Gupta et al. (eds.), International Conference on Innovative Computing and Communications, Advances in Intelligent Systems and Computing 1165, https://doi.org/10.1007/978-981-15-5113-0_79
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call out students’ roll and mark them through physical verification of their presence. This paper presents a method of implementing a system which autonomously captures images of students and faculty in a classroom and laboratory and gives output in the spreadsheet illustrating the attendance. The main outcomes of the proposed system include: • An automated and real-time attendance system. • High accuracy of the model in recognition of facial features. • Avoidance of issues related to signature verification.
2 Literature Survey Attendance is one of the important documents in any organization including institutions. Several techniques exist to mark attendance using human biometrics; face recognition being one of them. Basheer and Raghu [1] presented fingerprint-based attendance system, where fingerprint sensor is used to identify students uniquely. Vyas [2] presented the technique of principal component analysis (PCA), where face pictures are confronted onto a space that encodes dist
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