Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …

In this paper, we propose the use of recurrent neural networks (RNNs) to develop an
effective solution to two problems in electrocardiogram (ECG)-based biometrics …

Securing personal authentication is an important study in the field of security. Particularly,
fingerprinting and face recognition have been used for personal authentication. However …

Electrocardiogram (ECG)-based biometrics are gaining popularity because of its robustness
against falsification. In this letter, we have designed a new long short-term memory (LSTM) …

The electrocardiogram (ECG) based biometric system has recently gained popularity. Easy
signal acquisition and robustness against falsification are the major advantages of the ECG …

Electrocardiogram (ECG) biometrics has recently received considerable attention and is
considered to be a promising biometric trait. Although some promising results on ECG …

For good performance, most existing electrocardiogram (ECG) identification methods still
need to adopt a denoising process to remove noise interference beforehand. This specific …

In the past decades, the electrocardiogram (ECG) has been investigated as a promising
biometric by exploiting the subtle discrepancy of ECG signals between subjects. However …

In this work, a nonfiducial electrocardiogram (ECG) identification algorithm based on
statistical features and random forest classifier is presented. Two feature extraction …