Machine Learning based Facial Recognition and Finger Print Identification for Secure Locker Access

• Published in: 2024 IEEE 9th International Conference for Convergence in Technology (I2CT) pp. 1 - 7
• Main Authors: Baikerikar, Janhavi, Patil, Kunal, Jadhav, Aditya, D'Souza, Avin Alric, Sekar, Vendra, Naik, Saanvi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 05-04-2024
• Subjects: Authentication; Face recognition; finger print matching facial recognition; Fingers; Fisher recognizer; Haar Cascade algorithm; Insurance; Machine learning; Memory; Scalability; secure locker
• DOI: 10.1109/I2CT61223.2024.10544254
• ISBN: 9798350394450

A secure locker is a technologically advanced and secure storage solution designed to safeguard valuable belongings, documents, and assets within a banking institution or a similar secure facility. We have used biometric authentication methods such as fingerprint scanning and machine learning based facial recognition to ensure that only authorized users can access the contents of the locker. This significantly reduces the risk of unauthorized access. Our secure locker maintains digital records of all accesses and transactions, providing a clear audit trail of history of our locker thereby adding an extra layer of security and accountability.