Authentication System Using Biometric Data for Face Recognition
Chidi Ukamaka Betrand, Chinazo Juliet Onyema, Mercy Eberechi Benson-Emenike, Douglas Allswell Kelechi · International Journal of Sustainable Development Research · 2023
Biometric Attendance System Using Face Recognition initiative offers a game-changing answer to the age-old problem of tracking attendance. This innovative solution uses face recognition technology to automate attendance management, providing accuracy, efficiency, and security. The project, which was created on the Android platform, makes use of the capabilities of Kotlin as the core programming language. TensorFlow, a strong machine learning framework, enhances the system's functionality by assisting in real-time face detection and recognition. Android Studio, a versatile IDE designed for Android app development, was the development environment of choice. A careful data collection strategy that included observation and interviews yielded useful insights into the limits of traditional manual attendance systems. The algorithm performs facial feature extraction, comparison, and matching against the stored biometric data to determine the identity of the individual. To ensure data privacy and security, the system employed advanced encryption techniques to protect the biometric data stored in the database. Additionally, measures are in place to prevent unauthorized access to the system and its sensitive information. The Biometric Attendance System offers several advantages over traditional attendance methods. It eliminates the need for manual recording and reduces the potential for errors or fraudulent practices, resulting in more accurate attendance records. The system provides real-time attendance updates to teachers and administrators, enabling timely intervention for absentees. The automation of attendance processes also saves valuable time.