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@article{197725,
        author = {U. Nilofar Jahan and Dr. M. Rahimal Beevi},
        title = {BANKING ATM FACIAL RECOGNITION SYSTEM USING OPENCV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12094-12099},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197725},
        abstract = {The proliferation of Digital Banking Services has revolutionized financial transactions, yet traditional ATM systems continue to face significant security vulnerabilities and accessibility challenges. This project presents an innovative ATM system that integrates multiple advanced security mechanisms with enhanced voice guidance features to create a more secure, accessible, and user-friendly banking experience. The proposed solution combines face recognition technology, RFID-based authentication, and an invisible keypad system to address the persistent security threats associated with conventional ATM interfaces. By eliminating physical keypads that are susceptible to shoulder surfing and skimming attacks, the system establishes a new paradigm in secure transaction processing.},
        keywords = {ATM Security, Digital Banking, Face Recognition, RFID Authentication, Invisible Keypad, Biometric Security, Secure Transaction, Voice Guidance System, Anti-Skimming Techniques, User Accessibility.},
        month = {April},
        }