Multimodal biometric systems are recently gaining considerable attention for human identity
recognition in uncontrolled scenarios. This chapter presents an improved multimodal …

Recent years have seen a significant increase in attention in multimodal biometric systems
for personal identification especially in unconstrained environments. This paper presents a …

Ear based identity recognition subject to uncontrolled conditions such as illumination
changes, pose variation, low contrast, partial occlusion and noise, is an active research area …

Combining multiple human trait features is a proven and effective strategy for biometric‐
based personal identification. In this study, the authors investigate the fusion of two biometric …

In recent years, many researchers have shown interest in combining features of different
biometrie traits to improve recognition performance of the biometrie systems. In this paper …

A personal identification method is proposed which uses face and ear together to overcome
mass information loss resulting from pose changes. Several aspects are mainly considered …

Biometrics identification methods have proved to be very efficient, more natural and easy for
users than traditional methods of human identification. Biometrics methods truly identify …

Face recognition from a side profile view, has recently received significant attention in the
literature. Even though current face recognition systems have reached a certain level of …

Biometrics are automated methods of recognising a person based on physiological or
behavioural characteristics. To discriminate individuals, multimodal biometrics has already …

In the recent years, we have witnessed the rapid development of face recognition, though it
is still plagued by variations such as facial expressions, pose, and occlusion. In contrast to …