The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

The role of soft biometrics to enhance person recognition systems in unconstrained
scenarios has not been extensively studied. Here, we explore the utility of the following …

In this paper, we describe the world's largest gait database, the “OU-ISIR Gait Database,
Large Population Dataset with Age (OULP-Age)” and its application to a statistically reliable …

We propose in this paper an ordinary preserving manifold analysis approach for human age
and head pose estimation. While a large number of manifold learning algorithms have been …

Face as a biometric attribute has been extensively studied over the past few decades. Even
though, satisfactory results are already achieved in controlled environments, the practicality …

We propose a computational approach to human identification based on the integration of
face and body related soft biometric traits. In previous studies on soft biometrics, several …

This paper proposes and investigates experimentally an approach to age prediction from iris
images by using a combination of a small number of very simple geometric features, and a …

Mobile platforms have recently been integrated with biometric identification methods such as
fingerprint and/or voice recognition. However the rich contextual information carried on …

Extracting human attributes, such as gender and age, from biometrics have received much
attention in recent years. Gender and age recognition can provide crucial information for …