Fingerprint and Face based Evoting System : Digital Era

Authors

  • CHINTHAPALLI DEVI PG scholar, Department of MCA, CDNR collage, Bhimavaram, Andhra Pradesh. Author
  • K.RAMBABU (Assistant Professor),Master of Computer Applications,DNR collage, Bhimavaram,Andhra Pradesh.Pradesh. Author

Keywords:

Online E-Voting system, Aadhar, Face, Thumb.

Abstract

This paper enhances the online voting system
by integrating thumb, face, and Aadhaar validation,
ensuring secure and fraud-resistant voting. It proposes
a shift from India's cumbersome offline system to a
streamlined approach, enabling remote voting via twostep
authentication using face recognition and OTP.
Voters can also vote offline if preferred and verify their
vote allocation. The system can support voting outside
designated constituencies, simplifies tallying, and
ensures quick result announcements by the Election
Commission of India. Proposed system is more advance
compare to the state of art e-voting systems. Proposed
method provides higher security as it uses multi-level
authentication than one stage authentication. Python
programming and Django framework has been used for
designing the proposed model.

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Published

2025-05-01

Issue

Section

Articles

How to Cite

Fingerprint and Face based Evoting System : Digital Era. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(5), 8-15. https://ijmec.com/index.php/multidisciplinary/article/view/610