User Authentication Through Eye Blink-Based PINS Using Histogram Of Oriented Gradients Algorithm

The current paper talks about the project which introduces an innovative MFA system that integrates facial recognition, eye blink-based PIN entry, and one-time passwords (OTPs). Facial recognition verifies user identities by analyzing facial features, while the eye blink-based PIN mechanism adds biometric data to strengthen security. OTPs provide an additional layer of protection by generating unique codes for each login. Notably, the system deliberately avoids vulnerabilities like shoulder surfing and thermal tracking, further enhancing its security posture. By combining these elements, our system not only enhances security but also streamlines user experience by reducing reliance on vulnerable credentials like passwords. Our goal is to advance authentication technology and mitigate the risks associated with unauthorized access to sensitive data.