Analysis of Phonocardiogram signal for biometric identification system

In the paper, analysis of Phonocardiogram (PCG) signal for biometric identification system is proposed. The PCG signal can be used for identification of a person. The PCG signal is preprocessed to remove the noise and then the S1 and S2 sounds, which are important features of PCG signal, extracted from it. Shannon entropy method is used for envelope extraction. These features are stored in a database as a template. Features from the different PCG signals are used to make different templates. The recorded PCG signal of the same person is converted into a template and then used as an alternative approach for biometric identification.