The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

The electrocardiogram (ECG) is an emerging biometric modality that has seen about 13
years of development in peer-reviewed literature, and as such deserves a systematic review …

In this paper, we utilize the electrocardiogram (ECG) as a primary biometric modality in
human identification. The design steps of the proposed approach are the following. First, we …

This paper addresses the challenges of evaluating electrocardiogram (ECG) biometric
recognition systems. While this new biometric modality has attracted significant interest, a …

This paper presents eigenPulse, a new method for human identification from cardiovascular
function. Traditional biometric techniques, eg face and fingerprint, have used eigen analysis …

The potential of the electrocardiographic (ECG) signal as a biometric trait has been
ascertained in the literature over the past decade. The inherent characteristics of the ECG …

Single modality biometric identification systems exhibit performance that may not be
adequate for many security applications. Face and fingerprint modalities dominate the …

Biometric systems are an uprising technique of identification in today's world. Many different
systems have been used in everyone's daily life in the past years, such as fingerprint, face …

Electrocardiography (ECG) is the process of recording the electrical activity of the human
heart over time using electrodes that are placed over the skin. While the primary usage of …

In the paper a novel multimodal, behavioural biometric system that combines ECG and
sound signal is described. The signal acquisition has been carried out in a small stress …