Deep-ECG: Convolutional neural networks for ECG biometric recognition

RD Labati, E Muñoz, V Piuri, R Sassi, F Scotti - Pattern Recognition Letters, 2019 - Elsevier
Electrocardiographic (ECG) signals have been successfully used to perform biometric
recognition in a wide range of applications. However, ECG-based biometric systems are …

Continuous authentication using biometrics: An advanced review

G Dahia, L Jesus… - … Reviews: Data Mining …, 2020 - Wiley Online Library
The shortcomings of conventional access control systems for high‐security environments
have led to the concert of continuous authentication. Contrary to traditional verification, in …

Evolution, current challenges, and future possibilities in ECG biometrics

JR Pinto, JS Cardoso, A Lourenço - Ieee Access, 2018 - ieeexplore.ieee.org
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …

ECG biometric authentication based on non-fiducial approach using kernel methods

M Hejazi, SAR Al-Haddad, YP Singh, SJ Hashim… - Digital Signal …, 2016 - Elsevier
Identity recognition faces several challenges especially in extracting an individual's unique
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …

Performance optimization of surface electromyography based biometric sensing system for both verification and identification

A Pradhan, J He, N Jiang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Recently, surface electromyography (sEMG) emerged as a novel biometric authentication
method. Since EMG system parameters, such as the feature extraction methods and the …

An end-to-end convolutional neural network for ECG-based biometric authentication

JR Pinto, JS Cardoso - 2019 IEEE 10th International …, 2019 - ieeexplore.ieee.org
Aiming towards increased robustness to noise and variability, this paper proposes a novel
method for electrocardiogram-based authentication, based on an end-to-end convolutional …

Age estimation based on face images and pre-trained convolutional neural networks

A Anand, RD Labati, A Genovese… - … symposium series on …, 2017 - ieeexplore.ieee.org
Age estimation based on face images plays an important role in a wide range of scenarios,
including security and defense applications, border control, human-machine interaction in …

[HTML][HTML] MultiCardioNet: Interoperability between ECG and PPG biometrics

RD Labati, V Piuri, F Rundo, F Scotti - Pattern Recognition Letters, 2023 - Elsevier
Compared to other well-known biometric technologies based on physiological traits (eg,
fingerprint, iris, and face), heart biometrics are more robust to presentation attacks and are …

ECG identification based on non-fiducial feature extraction using window removal method

WH Jung, SG Lee - Applied Sciences, 2017 - mdpi.com
This study proposes electrocardiogram (ECG) identification based on non-fiducial feature
extraction using window removal method, nearest neighbor (NN), support vector machine …

Preliminary Study of Novel Bio-Crypto Key Generation Using Clustering-Based Binarization of ECG Features

HB Hwang, J Lee, H Kwon, B Chung, J Lee, IY Kim - Sensors, 2024 - mdpi.com
In modern society, the popularity of wearable devices has highlighted the need for data
security. Bio-crypto keys (bio-keys), especially in the context of wearable devices, are …