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@article{164233,
        author = {Mrs.S.Meera and Ms.R.Rasika and Ms.P.Kanimozhi and Ms.V.Kowsalya},
        title = {A UNIFIED BIOMETRIC VOTER VERIFICATION AND AUTHENTICATION E-VOTING SYSTEM THROUGH CNN},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {1187-1190},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164233},
        abstract = {The "A unified biometric voter verification and authentication E-voting system with through CNN" integrated system for voter eligibility verification using both face recognition and fingerprint authentication, implemented in MATLAB. The system aims to enhance the security and reliability of voting processes by combining biometric modalities. Face recognition is employed to identify voters based on facial features, while finger print authentication ensures additional verification. The system's output determines voter eligibility, facilitating a trust worthy voting process. the system logs all interactions and decisions made during the verification process, ensuring accountability and traceability. By combining face recognition and fingerprint authentication, the system offers a multi-layered approach to voter verification, mitigating the risk of identity fraud and unauthorized voting. Furthermore, the use of MATLAB as the development platform enables flexibility and scalability, allowing for future enhancements and integration with existing voting systems.},
        keywords = {MATLAB, IOT, BLYNK, ESP32},
        month = {},
        }