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@article{178240,
        author = {P. HARI KRISHNA and M.TRILOK SAI and M. BHUVANESH and K. PADMAJA DEVI},
        title = {Fingerprint Biometric-Based Attendance System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4000-4003},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178240},
        abstract = {The Fingerprint Biometric-Based Attendance System offers a secure and automated solution for tracking attendance in workplaces and educational institutions. It uses an Arduino UNO with an R305 Fingerprint Sensor for user authentication and a DS3231 RTC module to log accurate timestamps. A 16x2 LCD provides real-time feedback, while push buttons allow for user enrollment and deletion. The system eliminates proxy attendance and manual errors, enhancing reliability and efficiency. It is cost-effective, user-friendly, and ideal for environments requiring secure access control. Overall, it provides real-time, accurate attendance management through fingerprint recognition.},
        keywords = {AUTOMATED, ATTENDANCE, BIOMETRIC, RFID, SECURITY,},
        month = {May},
        }