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@article{172894,
        author = {R. Yogeshwari and V. Nithya Poorani and G. Gopperumdevi and S. Ruckmani},
        title = {ROBUST SECURITY FRAMEWORK WITH BIOMETRIC AUTHENTICATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {1414-1418},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172894},
        abstract = {A complete security solution that combines voice recognition, facial detection, and GSM-based OTP has been proposed to tackle the rise in fraud. Voice identification ensures authorised access by verifying users through the analysis of speech patterns. By using facial traits to confirm identity, face detection improves security. By greatly reducing the possibility of unwanted access, this biometric authentication technique gives the verification process a further level of reliability. Additionally, the system uses a GSM-based OTP, which sends a one-time, time-sensitive password to the user's mobile handset. Users enter the OTP for additional verification after voice and facial recognition are successful. The possibility of unwanted access to lockers is greatly decreased by this multi-factor authentication solution. By combining these technologies, security is strengthened and fraud exposure is reduced.},
        keywords = {GSM, biometric authentication, Security system, OTP configuration, voice and facial recognition},
        month = {February},
        }