E-voting Using Face Recognition

• Author(s):

  K. Kreeshma | G. Bala Murugan

• Keywords:

  E-Voting, Face Recognition, Biometric Authentication, Image Processing, Feature Extraction, Secure Digital Voting, OTP Verification.

• Abstract:

  This Paper Presents The Design And Implementation Of An E-Voting System Using Face Recognition Technology. The Proposed System Addresses Key Challenges In Traditional Voting Methods, Including Voter Impersonation, Manual Errors, And Slow Vote Counting. By Integrating Facial Biometrics, Encrypted Data Storage, And An Automated Result Generation Mechanism, The System Ensures A Secure, Transparent, And Efficient Electoral Process. The System Is Built With Five Core Modules — Admin, Field Officer, Nominee, Voter, And Result — And Employs Image Processing Techniques Such As Face Detection, Alignment, Feature Extraction, And Feature Matching To Authenticate Voters In Real Time. Experimental Results Demonstrate That The Proposed System Is Both Technically Feasible And Socially Acceptable, Offering A Reliable Alternative To Conventional Voting Systems.

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Other Details

• Paper id:

  IJSARTV12I4105082

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-20

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