Abstract

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 S 1 and S 2 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.

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