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@article{202746,
        author = {Dr. Shah Saloni Niranjan and Saurabh Suresh Gadekar and Suyash Sachin Jadhav and Vaibhav Sonaji Kudal},
        title = {Retina Authentication Security for Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8481-8485},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202746},
        abstract = {The digital age requires safe authentication methods because passwords and PINs along with ID cards face theft and hacking risks. The project creates a web-based Retina Authentication Security Application which operates using Python and OpenCV together with machine learning technology. The system verifies users through their distinct retina patterns which the system captures using a live webcam. The system performs eye region detection to extract retina features which it matches against stored database records for authentication purposes. The system combines retina recognition with facial recognition to achieve better accuracy and security while preventing fraud. The system works effectively for banking operations and access to confidential information and defense security systems.},
        keywords = {Retina Authentication, OpenCV, Biometric Security, Image Processing, Python, Machine Learning, etc.},
        month = {May},
        }