ECG-based biometric authentication using mulscale descriptors: ECG-based biometric authentication
ECG-based based human recognition is increasingly becoming a popular modality for biometric authentication. Two important features of ECG signals are liveliness and the robustness against falsification. However, ECG features vary due to muscle flexure, baseline wander, and other sources of noise. Th...
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Published in | 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) pp. 1 - 4 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English Japanese |
Published |
IEEE
01.11.2015
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Subjects | |
Online Access | Get full text |
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