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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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/52402/1/Feature%20level%20fusion%20for%20biometric%20verification%20with%20two-lead%20ECG%20signals.pdf http://psasir.upm.edu.my/id/eprint/52402/ |
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