Facial Recognition & Eye Blink Secured Cardless ATM Using CNN
ATM transactions have become essential for fulfilling our financial commitments in today's fast-paced world. Traditionally, using an ATM requires a debit card, but there are instances when individuals may forget to carry their cards, leading to transaction difficulties. Simultaneously, the use of mobile phones has become ubiquitous. Connecting these electronic devices has sparked a simple and efficient approach to withdrawing cash without needing a debit card. This method enhances "Cardless Cash Withdrawal" with two layers of security—facial recognition and eye-blink authentication, leveraging cutting-edge technology for secure ATM access. Utilizing CNN models, the system verifies user identity based on unique facial features. Biometric authentication reinforces ATM security, including facial recognition, eye blink patterns, and using an Aadhar number as a PIN. An OTP sent to the user's smartphone is an additional verification step for secure transactions. This system offers a user-friendly cardless cash withdrawal experience, supporting multi-banking functionalities for seamless banking.
Authors
- Mudassar Baig (ORCID: https://orcid.org/0000-0002-6922-5385)
- M. Salim Beg (ORCID: https://orcid.org/0000-0001-9434-3917)
- Afeefa Rafeeque
- Arslan Ahmed (ORCID: https://orcid.org/0000-0002-5101-8134)
- Ansari Abu Affan
Publication Details
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1109/icbds61829.2024.10837137
- Primary Topic
- Face recognition and analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00