A decision-level fusion strategy for multimodal ocular biometric in visible spectrum based on posterior probability

Document Type

Conference Article

Publication Title

IEEE International Joint Conference on Biometrics, IJCB 2017

Abstract

In this work, we propose a posterior probability-based decision-level fusion strategy for multimodal ocular biometric in the visible spectrum employing iris, sclera and peri-ocular trait. To best of our knowledge this is the first attempt to design a multimodal ocular biometrics using all three ocular traits. Employing all these traits in combination can help to increase the reliability and universality of the system. For instance in some scenarios, the sclera and iris can be highly occluded or for completely closed eyes scenario, the peri-ocular trait can be relied on for the decision. The proposed system is constituted of three independent traits and their combinations. The classification output of the trait which produces highest posterior probability is to consider as the final decision. An appreciable reliability and universal applicability of ocular trait are achieved in experiments conducted employing the proposed scheme.

First Page

794

Last Page

798

DOI

10.1109/BTAS.2017.8272772

Publication Date

7-1-2017

Comments

Open Access, Green

This document is currently not available here.

Share

COinS