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Feature extraction for human identification based on envelogram signal analysis of cardiac sounds in time-frequency domain

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2 Author(s)
Jasper, J. ; Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia ; Othman, K.R.

Currently there are many security systems relying on tradition biometrics for the purpose of authorization of legal users into a system. However, traditional biometrics systems which commonly use behavioral biometrics have shown serious drawbacks, violating two of the main requirements of a reliable biometrics, namely permanence and circumvention. The paper explores the effectiveness of the features extracted from the envelogram of joint time-frequency domain of a generic heart sound signal to be used as biometric human identifiers. A powerful signal processing tool, The Wavelet Transform is used to analyze the signal in time-frequency domain and to extract suitable features by with the help of computational software, Matlab.

Published in:

Electronics and Information Engineering (ICEIE), 2010 International Conference On  (Volume:2 )

Date of Conference:

1-3 Aug. 2010

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