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The aim is to create a secure and efficient online voting system that integrates face recognition for voter authentication.

Design and Implementation of an Online Voting System with Face Recognition Authentication

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The aim is to create a secure and efficient online voting system that integrates face recognition for voter authentication.
Developed using React JS for the front-end and Spring Boot for the back-end.
Implemented face recognition with the LBPH algorithm for real-time verification.
Utilized AES encryption for secure data transmission and SHA hashing for credential protection.
Included an admin module for election management and result publication.
Achieved one-person-one-vote integrity through face recognition.
Improved accessibility for remote voters with cloud-based access.
Enhanced security standards in online voting compared to traditional methods.

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This implementation demonstrates a secure online voting system using face recognition for authentication, indicating improved trust and efficiency.

Kumari et al. (2026) studied this question.

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This implementation demonstrates a secure online voting system using face recognition for authentication, indicating improved trust and efficiency.