Human recognition using Fisher?s discriminant analysis of heartbeat interval features and ECG morphology
We propose a hybrid approach of ECG biometric method for robust human recognition. It derives analytical and appearance features from heartbeats. Fisher?s linear discriminant is used to make the analysis insensitive to noise. Recognition performance is found optimum confirming robustness of proposal.
human recognition heartbeats biometrics electrocardiogram (ecg) fisher?s linear discriminant (fld)