Biofeatures are fast becoming a key tool to authenticate the IoT devices; in this sense, the
purpose of this investigation is to summarise the factors that hinder biometrics models' …

The comprehensive evolution of information communication technologies on mobile sensing
objects has led to the provision of versatile ubiquitous network services embedded with …

Identity recognition using local features extracted from ear images has recently attracted a
great deal of attention in the intelligent biometric systems community. The rich and reliable …

This paper presents a deep learning method for human authentication based on hand
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …

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 …

The discriminative ability of geometric features can be well supported by empirical studies in
ear recognition. Recently, a number of methods have been suggested for geometric feature …

Combination of multiple information extracted from different biometric modalities in
multimodal biometric recognition system aims to solve the different drawbacks encountered …

Identification systems based on biometric features are becoming increasingly important. One
of the most common biometric features is the ear. The accuracy of these systems is heavily …

As one of the most important biometrics, ear biometrics is getting more and more attention.
Ear recognition has unique advantages and can make identification more secure and …

Person identifications using the ear-based biometric system has become quite popular in
recent year due to increasing demands in security and surveillance applications. With …