Individual identification via electrocardiogram analysis
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 …
has increased. ECG characteristics made it suitable for subject identification: it is unique …
[PDF][PDF] A review on biometric recognition
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 …
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 …
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 …
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
Abstract Background/Objectives: Biometric is a tool of measuring and statistically analyzing
biological data. Due to advancement in technology, spoofing attacks and credential forgery …
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 …
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 …
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 …
Compared to conventional biometrics, bioelectrical signals provide high security for …
ECG signal based human identification method using features in temporal and wavelet domains
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 …
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 …
started in the early 2000s. This recognition process is based on characterizing each user …