Multilevel Biometrics for Exam Hall Authentication

Authors

  • Siddiqa Saniya Department of Electronics and Communication Engineering, Atria Institute of Technology, Bangalore, India
  • Pavan P. Acharya Department of Electronics and Communication Engineering, Atria Institute of Technology, Bangalore, India
  • A. Sangeetha Department of Electronics and Communication Engineering, Atria Institute of Technology, Bangalore, India
  • S. Sagarika Department of Electronics and Communication Engineering, Atria Institute of Technology, Bangalore, India
  • K. Priya Department of Electronics and Communication Engineering, Atria Institute of Technology, Bangalore, India

Keywords:

Biometric, Fingerprint, Palm vein, Face recognition, Raspberry Pi, Exam hall Authentication

Abstract

During examinations, Authentication has always been the major challenge. Verifying candidate’s eligibility for the exam is not an easy task as its time consuming following traditional candidate checking. In order to overcome this, the project is designed to eliminate impersonation, by using multiple biometrics features of the candidate. This authentication Technology uses different biometric features, fingerprint, facial features and vein pattern of the candidate. The system consists of a camera for detection, fingerprint scanner connected to the circuit and also vein authentication technology. The fingerprint is scanned and is checked with already saved/stored data base of the system and confirm the eligibility of the candidate, and the ace recognition is done using a camera integrated to the circuit which is matched with the database entries of the eligible candidate, also the vein authentication technology used here captures an infrared rays image of the candidate’s vein and is matched with the already recorded pattern. If the fingerprint, face and the vein is authorized; the system now sends the signal that person can be allowed to the examination hall, and in this way non-authenticated students can be avoided.

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Published

17-05-2021

Issue

Section

Articles

How to Cite

[1]
S. Saniya, P. P. Acharya, A. Sangeetha, S. Sagarika, and K. Priya, “Multilevel Biometrics for Exam Hall Authentication”, IJRESM, vol. 4, no. 5, pp. 6–9, May 2021, Accessed: Apr. 27, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/710