The last few decades have seen the emergence of paper-based. The electoral process has faced continuous challenges throughout history. Associated with security, reliability, and transparency. This paper suggests an integrated decentralized voting system to promote electoral integrity. The system incorporates biometric real-time facial voter registration authentication and blockchain-based vote recording. To enhance security, multi-factor authentication combines facial recognition with one-time passwords (OTP), whereas SHA-512 Voter information is secured by encryption techniques. Smart contracts A permissioned blockchain ensures data integrity by virtue of its tamperproofing, vote recording, restricted to authorized users. System testing with 100 A 94% rate of authentication was shown by the participants. Achievement on the first attempt and total success on the second. The vote recording process happens on blockchain networks achieved ideal accuracy rates at a consistent. The allotted time period for voting is 55 s. It was able to cast votes with a 0% false acceptance rate (FAR) and a 6% false rejection rate (FRR). We prove these results through system performance potential processes of transparent and secure electoral. Future work will focus on the improvement of various aspects the human–computer interaction, optimizing face recognition performance in heterogeneous conditions as well as. Deploying the framework in large-scale political election process.

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Decentralized Election Using Face Recognition

  • Ravishek Kumar Singh,
  • Ambuj Kumar Agarwal

摘要

The last few decades have seen the emergence of paper-based. The electoral process has faced continuous challenges throughout history. Associated with security, reliability, and transparency. This paper suggests an integrated decentralized voting system to promote electoral integrity. The system incorporates biometric real-time facial voter registration authentication and blockchain-based vote recording. To enhance security, multi-factor authentication combines facial recognition with one-time passwords (OTP), whereas SHA-512 Voter information is secured by encryption techniques. Smart contracts A permissioned blockchain ensures data integrity by virtue of its tamperproofing, vote recording, restricted to authorized users. System testing with 100 A 94% rate of authentication was shown by the participants. Achievement on the first attempt and total success on the second. The vote recording process happens on blockchain networks achieved ideal accuracy rates at a consistent. The allotted time period for voting is 55 s. It was able to cast votes with a 0% false acceptance rate (FAR) and a 6% false rejection rate (FRR). We prove these results through system performance potential processes of transparent and secure electoral. Future work will focus on the improvement of various aspects the human–computer interaction, optimizing face recognition performance in heterogeneous conditions as well as. Deploying the framework in large-scale political election process.