Facial Biometrics for Attendance System

Year : 2024 | Volume :02 | Issue : 01 | Page : 36-44
By

D.M.V. Priya,

P. Srinivasa Vinay,

K. Roopesh,

T. Prabhu Teja,

B. Jagadeesh,

  1. Assistant Professor, Gayatri Vidya Parishad College for Degree and PG Courses(A), Visakhapatnam, India
  2. Student, Gayatri Vidya Parishad College for Degree and PG Courses(A), Visakhapatnam, India
  3. Student, Gayatri Vidya Parishad College for Degree and PG Courses(A), Visakhapatnam, India
  4. Student, Gayatri Vidya Parishad College for Degree and PG Courses(A), Visakhapatnam, India
  5. Student, Gayatri Vidya Parishad College for Degree and PG Courses(A), Visakhapatnam, India

Abstract

This paper discusses the necessity for effective student attendance management systems by proposing a smart attendance management system utilizing biometric technology. It is well recognised that manually recording attendance is time-consuming and error prone. In this study, we propose a Facial Biometrics attendance system that automates attendance process without requiring human intervention. The system consists of a camera placed in the classroom to take pictures of the pupils. Subsequently, the captured images are analyzed for facial features through the implementation of the Histogram of Oriented Gradients (HOG) algorithm for precise face detection. After identification, the K-Nearest Neighbour (KNN) classifier is used to identify the faces. Then marked as present or absent upon the recognition results, and these detected facial records are securely stored within a database for future reference and analysis. The Technology allows Users to have access to real-time attendance data and can generate monthly attendance reports effortlessly. By employing this methodology, the system achieves efficiency and stability, resulting in a significant reduction in classroom attendance management costs

Keywords: Facial biometrics, images, HOG algorithm, k-nearest neighbor

[This article belongs to International Journal of Electrical and Communication Engineering Technology(ijecet)]

How to cite this article: D.M.V. Priya, P. Srinivasa Vinay, K. Roopesh, T. Prabhu Teja, B. Jagadeesh. Facial Biometrics for Attendance System. International Journal of Electrical and Communication Engineering Technology. 2024; 02(01):36-44.
How to cite this URL: D.M.V. Priya, P. Srinivasa Vinay, K. Roopesh, T. Prabhu Teja, B. Jagadeesh. Facial Biometrics for Attendance System. International Journal of Electrical and Communication Engineering Technology. 2024; 02(01):36-44. Available from: https://journals.stmjournals.com/ijecet/article=2024/view=156564

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Regular Issue Subscription Original Research
Volume 02
Issue 01
Received May 11, 2024
Accepted June 21, 2024
Published July 17, 2024
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