Brain activities can be evaluated by using Electroencephalogram (EEG) signals. One of the
primary reasons for traffic accidents is driver fatigue, which can be identified by using EEG …

In this paper, an effective multimodal biometric identification approach for human
authentication tool based on face and voice recognition fusion is proposed. Cepstral …

Abstract Information security has become an inseparable aspect of the field of information
technology as a result of advancements in the industry. Authentication is crucial when it …

The authentication of the Wireless Body Area Networks (WBANs) nodes is a vital factor in its
medical applications. This paper, investigates methods of authentication over these …

Face recognition (FR) is getting a lot of attention for a good reason in the field of research
and making a big impact in areas such as computer vision and human-computer interaction …

A genetic disease or disorders is a hereditary issue caused by one or more abnormalities
formed in the genome. Genetic disorders can be monogenic, multifactorial, or chromosomal …

Recent research proves that face recognition systems can achieve high‐quality results even
in non‐ideal environments. Edge detection techniques and feature extraction methods are …

Objectives: The main objective is to propose a multimodal biometric system by forming a
fusion of Face and Speech modalities using DTCWT+ QFT techniques for face and MFCC+ …

Crime control in human societies has continued to pose significant problems and requires
dynamic approaches to be subdued through effective investigation mechanisms. Notable …

Face recognition is a considerable problem in the field of image processing. It is used daily
in various applications from personal cameras to forensic investigations. Most of the …