Feature level fusion for biometric verification with two-lead ECG signals

Feature level fusion for biometric verification with two-lead ECG signals

Electrocardiogram (ECG) is a new generation of biometric modality which has unique identity properties for human recognition. There are few studies on feature level fusion over short-term ECG signals for extracting non-fiducial features from autocorrelation of ECG windows with an identical length. I...

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Bibliographic Details
Main Authors: Hejazi, Maryamsadat, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari, Abdul Aziz, Ahmad Fazli, Singh, Yashwant Prasad
Format: Conference or Workshop Item
Language:English
Published: IEEE 2016
Online Access:http://psasir.upm.edu.my/id/eprint/52402/
http://psasir.upm.edu.my/id/eprint/52402/1/Feature%20level%20fusion%20for%20biometric%20verification%20with%20two-lead%20ECG%20signals.pdf

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