Title :
Analysis of Phonocardiogram signal for biometric identification system
Author :
Bindu Bhargav Kumar, S. ; Jagannath, M.
Author_Institution :
Sch. of Electron. Eng., VIT Univ., Chennai, India
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 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.
Keywords :
feature extraction; fingerprint identification; information theory; medical signal processing; phonocardiography; signal denoising; PCG signal extraction; PCG signal recording; Shannon entropy method; biometric identification system; phonocardiogram signal analysis; Databases; Entropy; Feature extraction; Heart; Noise; Noise reduction; Phonocardiography; Biometric; Identification; Phonocardiogram; Recognition; Verification;
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/PERVASIVE.2015.7086994
