Issue |
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
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Article Number | 01037 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/202450701037 | |
Published online | 29 March 2024 |
Fingerprint-based biometric smart electronic voting machine using IoT and advanced interdisciplinary approaches
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India
2 The Islamic university, Najaf, Iraq
3 Department of Computer Science, New Horizon College of Engineering, Bangalore, Karnataka, India.
4 Lovely Professional University, Phagwara, Punjab, India.
5 Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, Uttar Pradesh, India.
* Corresponding author: srilatha1727@grietcollege.com
India is a Democratic country with a huge population where voting plays an important role. Every citizen has the right to choose their leaders. This is done by using electronic voting machines (EVMs) at polling booths. But even there may be some malfunctions during elections. Under these circumstances holding elections is a complex task for the Election Commission because there is rigging taking place. Electronic voting systems have come into the picture to prevent rigging up to the maximum extent. For this, we are using the R307 Fingerprint Module which scans the fingerprint and gives input to Arduino Uno. Our developed algorithm stores the particular fingerprint in the storage drive and makes sure that the fingerprint is unique from the previously stored data. Thus, when the same person comes to poll his vote during the elections, he needs to give his fingerprint before polling his vote if his fingerprint is already present in stored data. If both the data are matched. The person can be eligible to pole his vote else the buzzer will give us the alert sound. The advanced technology will improve the “Biometric Voting System” through the fingerprint enrolment process making the authentication easy and enhancing security.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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