Multiple Biometric Grand Challenge

The performance of a biometric recognition algorithm is often evaluated by testing it on standard datasets. This process, known… Expand

In this paper, we propose a novel and robust approach for periocular recognition. Specifically, we propose fusion of Local Phase… Expand

The purpose of this paper is to introduce an effective and structured methodology for carrying out a biometric system sensitivity… Expand

We present a simple yet compact and discriminative representation for image sets which can efficiently be used for image-set… Expand

Against the backdrop of growing concerns about security, face-based biometrics has emerged as a methodology to reliably infer… Expand

This paper investigates the effectiveness of local appearance features such as Local Binary Patterns, Histograms of Oriented… Expand

Developing newer approaches to deal with non-ideal scenarios in face and iris biometrics has been a key focus of research in… Expand

Human recognition based on the iris biometric is severely impacted when encountering non-ideal images of the eye characterized by… Expand

The goal of the Multiple Biometrics Grand Challenge (MBGC) is to improve the performance of face and iris recognition technology… Expand

In this paper, we present a new combination technique to fusescores deriving from face and iris biometric matchers. Based on… Expand