IRIS RECOGNITION USING IMAGE PROCESSING
Dr.T. Marimuthu, M. Praveena, M.Chandra Mounika, Parimi Sunayana, Gavanapuram Monalisa · ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY · 2024
In the contemporary landscape of digital evaluations, ensuring robust and accurate user verification is paramount. Traditional methods like passwords and PINs are prone to numerous vulnerabilities such as phishing and brute force attacks. Addressing these concerns, iris recognition emerges as a formidable biometric authentication solution. This research proposes the incorporation of iris recognition technology into an online assessment framework leveraging Java Server Pages (JSP). By utilizing iris recognition to verify users before granting access to assessment content, this innovative system enhances security protocols and reduces the likelihood of unauthorized access. The system's architecture leverages JSP for dynamic web page generation, seamlessly integrating iris capture and recognition functionalities into the web interface. Key components of the system encompass iris image capture, feature extraction, matching, and user authentication. Iris images can be obtained through webcam interactions or file uploads, with extracted features compared against secure database templates for user authentication. By integrating iris recognition logic with JSP, real-time authentication is achieved during user login and assessment sessions. The system's implementation adheres strictly to industry best practices in web development, ensuring scalability, reliability, and cross-platform compatibility. Addressing privacy and security concerns surrounding biometric data, encryption techniques are employed, and regulatory standards are strictly followed. Ultimately, this system drives advancements in online assessment security by harnessing biometric technology within the familiar framework of JSP-based web applications.