Voter Authentication System Using Feature Level Fusion of Iris, Face and Palmprint
CH. Ramesh, P. Rajesh, M. Harika, D. Laveen Kumar, P. Keerthana, G. Aditya Vishnu Vardhan · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: The authentication scheme is an important cryptographic mechanism, through which two communication parties could authenticate each other in the open network environment. To satisfy the requirement of practical applications, many authenticationschemes using passwords and smart cards have been proposed. However,passwords might be divulged or forgotten, and smart cards might be shared, lost, or stolen. In contrast, biometric methods such as face or iris scans, have no such drawbacks. Three biometric traits are collected and stored into database at the time of enrollment. The Multimodel Biometric based user authentication systems are highly secured and efficient to use and place total trust on the authentication server where biometric verification data are stored in a database. Such systems are prone to dictionary attacks initiated at the server side. In thispaper, we propose an efficient approach based on multimodal biometrics-based user authentication and key exchange system. In this system,texture properties are extracted from the palm print, face and iris. Duringlogin procedure the mutual authentication is done between the user and server and a symmetric key is generated on both sides, which could be used for further secure communication between the user and the server can also be overcome. This system can be directly applied to strengthen existing password or biometric based systems without requiring additional computation.