Individual identification via electrocardiogram analysis

A Fratini, M Sansone, P Bifulco, M Cesarelli - Biomedical engineering …, 2015 - Springer
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 …

[PDF][PDF] A review on biometric recognition

G Kaur, G Singh, V Kumar - International Journal of Bio-Science and …, 2014 - gvpress.com
Biometrics introduce to the recognition of human by their characteristics. It is used to identify
individuals in groups. Traditional methods of identification involving passwords and PIN …

Wearables-driven freeform handwriting authentication

I Griswold-Steiner, R Matovu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the ubiquity of handwriting in everyday tasks, it is surprising that existing avenues for
handwriting authentication remain largely out of reach for the average individual or …

ECG based biometric for human identification using convolutional neural network

SR Bajare, VV Ingale - 2019 10th International Conference on …, 2019 - ieeexplore.ieee.org
As growing falsification techniques threaten human identification, security is a major
concern. ECG signals are irreplaceable and cannot be copied, so it is used for biometric …

[PDF][PDF] Review of fiducial and non-fiducial techniques of feature extraction in ECG based biometric systems

Z Hassan, SO Gilani, M Jamil - Indian J. Sci. Technol, 2016 - academia.edu
Abstract Background/Objectives: Biometric is a tool of measuring and statistically analyzing
biological data. Due to advancement in technology, spoofing attacks and credential forgery …

Deep learning feature representation for electrocardiogram identification

X Lei, Y Zhang, Z Lu - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
This paper presents an efficient and powerful method of electrocardiogram (ECG)
identification. Specially, a set of discriminative feature representations can be learned from …

Electrocardiogram based identification using a new effective intelligent selection of fused features

H Abbaspour, SM Razavi… - Journal of Medical Signals …, 2015 - journals.lww.com
Over the years, the feasibility of using Electrocardiogram (ECG) signal for human
identification issue has been investigated, and some methods have been suggested. In this …

Features in Temporal and Frequency Domains of Eye-Blinking Signals for Human Identification

K Yu, S Ye, Y Zheng - 2024 3rd International Joint Conference …, 2024 - ieeexplore.ieee.org
Biometric verification has been recognized as an effective method for human identification.
Compared to conventional biometrics, bioelectrical signals provide high security for …

ECG signal based human identification method using features in temporal and wavelet domains

SA Fattah, C Shahnaz, ASMM Jameel… - TENCON 2012 IEEE …, 2012 - ieeexplore.ieee.org
This paper presents an effective method for human identification using temporal and wavelet
domain features extracted from electrocardiogram (ECG) signal. Instead of directly using the …

[HTML][HTML] Cardiovascular information for improving biometric recognition

PT Martín - 2022 - dialnet.unirioja.es
The development of human recognition based on Electrocardiogram (ECG) information
started in the early 2000s. This recognition process is based on characterizing each user …