International Journal of Computer Applications
Today most of the critical information is computerized and being used in public domains like banks, ATMs, Airports and other security areas. This paper presents a novel method for recognization of user identity based on multiple traits. In this approach the concepts of fusion together with Generalized Gamma Distribution (GGD) are utilized. The performance of the model is evaluated using synthetic data and evaluation is carried out by considering metrics like False Acceptance Rate (FAR), and False Rejection Rate (FRR).