Face Recognition Based Automated Attendance Management System

Authors

  • Aparna Trivedi  B.Tech Scholar, Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Chandan Mani Tripathi  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow , India
  • Dr. Yusuf Perwej  Professor, Department of Computer Science & Engineering, Ambalika Institute of Management and Technology, Lucknow, India
  • Ashish Kumar Srivastava  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Neha Kulshrestha  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India

DOI:

https://doi.org/10.32628/IJSRST229147

Keywords:

Face Detection, Viola-Jones Algorithm, Face Recognition, Attendance, OpenCv.

Abstract

At the beginning and end of each session, attendance is an important aspect of the daily classroom evaluation. When using traditional methods such as calling out roll calls or taking a student's signature, managing attendance can be a time-consuming task. The teacher normally checks it, although it's possible that a teacher will miss someone or some students' answers many times. Face recognition-based attendance system is a solution to the problem of recognizing faces for the purpose of collecting attendance by utilizing face recognition technology based on high-definition monitor video and other information technology. Instead of depending on time-consuming approaches, we present a real-time Face Recognition System for tracking student attendance in class in this work. The suggested method included identifying human faces from a webcam using the Viola-Jones technique, resizing the identified face to the desired size, and then processing the resized face using a basic Local Binary Patterns Histogram algorithm. After the recognition is completed, the attendance will be immediately updated in a SQLite database with the relevant information. Many institutions will profit greatly from this endeavor. As a result, the amount of time it takes and the number of human errors it makes are minimized, making it more efficient.

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International Journal of Scientific Research in Science and Technology

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Published

2022-02-28

Issue

Volume 9, Issue 1, January-February-2022

Section

Research Articles

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How to Cite

[1]
Aparna Trivedi, Chandan Mani Tripathi, Dr. Yusuf Perwej, Ashish Kumar Srivastava, Neha Kulshrestha "Face Recognition Based Automated Attendance Management System " International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 1, pp.261-268, January-February-2022. Available at doi : https://doi.org/10.32628/IJSRST229147