3 accepted papers
Electrocardiogram (ECG) biometrics has been an emerging field, and off-the-person ECG biometrics capturing the ECG from fingertips is one of the new trends in this field. However, dynamic morphological variability in the same person and low signal-to-noise ratios pose great challenges for off-the-pe…
Electrocardiogram (ECG) biometrics has aroused extensive attention in the research field of biometric recognition. How-ever, most existing methods either only consider a single do-main (time domain or frequency domain) to extract features or extract multi-features while ignoring the specific proper-…
In recent years, Electrocardiogram (ECG) biometrics has gained extensive attention. However, most existing methods adopted offline batch learning, which means that they need to accumulate all data and retrain the model when new data comes. Therefore, it is inefficient and unpractical for them to han…