Pouryayevali, 2015 - Google Patents

ECG biometrics: new algorithm and multimodal biometric system

Pouryayevali, 2015

View PDF
Document ID
12046662832939538413
Author
Pouryayevali S
Publication year

External Links

Snippet

This thesis studies the challenges of applying the electrocardiogram signal (ECG) as a biometric. Unlike most biometric characteristics, ECG is time-dependent and naturally affected by the physical and psychological activity of the human body which is mainly …
Continue reading at central.bac-lac.gc.ca (PDF) (other versions)

Similar Documents

Publication Publication Date Title
Abdeldayem et al. A novel approach for ECG-based human identification using spectral correlation and deep learning
Singh et al. Bioelectrical signals as emerging biometrics: Issues and challenges
Agrafioti et al. Heart biometrics: Theory, methods and applications
JP4782141B2 (en) Method and apparatus for electronic biometric identification recognition
Singh et al. Evaluation of electrocardiogram for biometric authentication
Fratini et al. Individual identification via electrocardiogram analysis
Singh et al. Fusion of electrocardiogram with unobtrusive biometrics: An efficient individual authentication system
Wahabi et al. On evaluating ECG biometric systems: Session-dependence and body posture
Komeili et al. Liveness detection and automatic template updating using fusion of ECG and fingerprint
US7689833B2 (en) Method and apparatus for electro-biometric identity recognition
US20060136744A1 (en) Method and apparatus for electro-biometric identity recognition
Pal et al. Evaluation of bioelectric signals for human recognition
Abdeldayem et al. ECG-based human authentication using high-level spectro-temporal signal features
Chamatidis et al. Using deep learning neural networks for ECG based authentication
Singh Human recognition using Fisher׳ s discriminant analysis of heartbeat interval features and ECG morphology
JP5642210B2 (en) Method and apparatus for electronic biometric identification recognition
Pouryayevali ECG biometrics: new algorithm and multimodal biometric system
Tantawi et al. An evaluation of the generalisability and applicability of the PhysioNet electrocardiogram (ECG) repository as test cases for ECG-based biometrics
Singh Individual identification using linear projection of heartbeat features
D’angelis et al. Advancing ECG Biometrics Through Vision Transformers: A Confidence-Driven Approach
Siam et al. Enhanced user verification in IoT applications: a fusion-based multimodal cancelable biometric system with ECG and PPG signals
Agrafioti Robust subject recognition using the Electrocardiogram
Mousavi Fusion of ECG and PPG signals in apply to spoof detection and biometric authentication
Alariki et al. A Review Study of Heartbeat Biometric Authentication.
WO2019153074A1 (en) System and method for liveness detection and automatic template updating using fusion of medical and non-medical biometrics