Deep-ECG: Convolutional neural networks for ECG biometric recognition
Electrocardiographic (ECG) signals have been successfully used to perform biometric
recognition in a wide range of applications. However, ECG-based biometric systems are …
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 …
have led to the concert of continuous authentication. Contrary to traditional verification, in …
Evolution, current challenges, and future possibilities in ECG biometrics
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …
reliable recognition in diverse applications. Commercial products using these traits for …
ECG biometric authentication based on non-fiducial approach using kernel methods
Identity recognition faces several challenges especially in extracting an individual's unique
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
Performance optimization of surface electromyography based biometric sensing system for both verification and identification
Recently, surface electromyography (sEMG) emerged as a novel biometric authentication
method. Since EMG system parameters, such as the feature extraction methods and the …
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 …
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 …
including security and defense applications, border control, human-machine interaction in …
[HTML][HTML] MultiCardioNet: Interoperability between ECG and PPG biometrics
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 …
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 …
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
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 …
security. Bio-crypto keys (bio-keys), especially in the context of wearable devices, are …