Fingerprint and Face Recognition Based Attendance System for Exams

Year : 2024 | Volume :11 | Issue : 03 | Page : 26-33
By
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Deepali Newaskar,

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Vaishnavi Paygude,

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Vedika Mahamulkarr,

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Aditi Vyhwhare,

  1. Assistant Professor, Department of Electronics and Telecommunication, Engineering, RMD Sinhgad School of Engineering, Warje, Pune, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication, Engineering, RMD Sinhgad School of Engineering, Warje, Pune, Maharashtra, India
  3. Student, Department of Electronics and Telecommunication, Engineering, RMD Sinhgad School of Engineering, Warje, Pune, Maharashtra, India
  4. Student, Department of Electronics and Telecommunication, Engineering, RMD Sinhgad School of Engineering, Warje, Pune, Maharashtra, India

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_130920’);});Edit Abstract & Keyword

In educational institutions, managing attendance efficiently and accurately is pivotal for ensuring academic integrity and administrative effectiveness. Traditional attendance tracking techniques, including human roll calls or barcode scanning, are laborious, error-prone, and vulnerable to fraud. Traditional methods of keeping track of attendance, including sign-in sheets and physical roll calls, are often time-consuming, prone to errors, and lack the security measures needed in many contemporary settings. Modern biometric technologies have made it possible to integrate a more secure, accurate, and efficient attendance management system in answer to these difficulties. Radio-frequency identification (RFID)-based attendance system: Students will be given an RFID tag, which they must show to the RFID reader in order to participate. But in order to use these strategies, students must stand in line every time they visit the office, which takes time. The proposed system integrates state-of-the-art biometric authentication techniques to provide a robust and reliable solution for automating the attendance process. Overall, the fingerprint and face recognition–based exam hall attendance system outlined in this paper offers a comprehensive solution for addressing the challenges associated with traditional attendance tracking methods by leveraging cutting-edge biometric technologies, the system enhances efficiency, accuracy, and security, ultimately contributing to the integrity and credibility of the examination process in educational institutions.

Keywords: Fingerprint recognition, authentication, face recognition, attendance system, live face detection

[This article belongs to Journal of Telecommunication, Switching Systems and Networks (jotssn)]

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How to cite this article:
Deepali Newaskar, Vaishnavi Paygude, Vedika Mahamulkarr, Aditi Vyhwhare. Fingerprint and Face Recognition Based Attendance System for Exams. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(03):26-33.
How to cite this URL:
Deepali Newaskar, Vaishnavi Paygude, Vedika Mahamulkarr, Aditi Vyhwhare. Fingerprint and Face Recognition Based Attendance System for Exams. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(03):26-33. Available from: https://journals.stmjournals.com/jotssn/article=2024/view=0

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Regular Issue Subscription Review Article
Volume 11
Issue 03
Received 10/07/2024
Accepted 10/09/2024
Published 17/09/2024
230