Biometric System Based Electronic Voting Machine

T. Haripriya; Vinodkumar B G; Mahesh Babu; G. Aswini; Rekha M S

doi:10.32628/CSEIT2410315

Authors

T. Haripriya Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
Vinodkumar B G Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
Mahesh Babu Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
G. Aswini Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
Rekha M S Assistant Professor, Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author

DOI:

https://doi.org/10.32628/CSEIT2410315

Keywords:

Electronic Voting Machines, Biometric Information, Particularly Fingerprints

Abstract

Through voter identity verification, the avoidance of duplicate voting, and the reduction of problems like ballot rigging and voter impersonation, biometric authentication—more specifically, fingerprint scanning—improves voting security and accuracy. Before enabling voters to cast their ballots, the proposed biometric Electronic Voting Machines (EVMs) use fingerprint sensors combined with microcontrollers such as ARM9. In addition to displaying voter data, such as name, photo, constituency, and ID, following authentication for transparency, these EVMs provide instantaneous transfer of voting results to a central server for oversight. Compared to conventional paper-based or electronic systems, biometric-based EVMs are intended to improve voting process security, efficiency, and integrity.

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