Background During last decade the use of ECG recordings in biometric recognition studies
has increased. ECG characteristics made it suitable for subject identification: it is unique …

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 …

The ECG signal has been shown to contain relevant information for human identification.
Even though results validate the potential of these signals, data acquisition methods and …

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

Security biometrics is a secure alternative to traditional methods of identity verification of
individuals, such as authentication systems based on user name and password. Recently, it …

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 …

In biometric recognition based on Electrocardiographic (ECG) signals, there are two main
approaches for feature extraction: fiducial and non-fiducial. Fiducial methods use points of …

With increasing security and privacy requirements, electrocardiogram (ECG)-based
biometric human identification and authentication is gaining extensive attention. This paper …

The advance of falsification technology increases security concerns and gives biometrics an
important role in security solutions. The electrocardiogram (ECG) is an emerging biometric …

Sigma promoter sequences in bacterial genomes are important due to their role in
transcription initiation. Sigma 70 is one of the most important and crucial sigma factors. In …