International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 6 Issue 6
November-December 2024

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Face Recognition–based Attendance System

Author(s) Pranavi Jamalapuram, P. Sai Sragvi, S.Renuka
Country India
Abstract Teachers often face a significant burden when it comes to manually managing attendance. To address this challenge, an intelligent automatic time attendance management system is employed. However, ensuring proper authentication poses a crucial concern for this system. Biometric data, particularly facial recognition, is commonly utilized to enhance these smart time attendance systems. Facial recognition serves as one of the biometric techniques aimed at improving the system. The key implementation steps in such a system involve face recognition and the recognition of identified faces. This article proposes a plan for introducing a system to track students' attendance automatically in schools. The model takes advantage of various methods for recognising human faces, such as Eigenface values, PCA, and CNNs. The model provides a useful tool for keeping track of students' attendance and records by matching images of their faces with those in a database.
Keywords Eigenface values, Principle Component Analysis (PCA) and Convolutional Neural Network (CNN
Field Computer Applications
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-10
Cite This Face Recognition–based Attendance System - Pranavi Jamalapuram, P. Sai Sragvi, S.Renuka - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32722
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32722
Short DOI https://doi.org/g8vgg4
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