Abstract

This paper presents a novel method for recognisation 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).

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