Biometrics from heart sounds: Evaluation of a new approach based on wavelet packet cepstral features using HSCT-11 database.
Computers & Electrical Engineering(2016)
摘要
A new PCG biometric authentication system using wavelet packet cepstral features is proposed.Non-linear wavelet packet filter bank is designed to match the acoustic nature of PCG signals.High correct recognition rates (91.05%) and low error rates (3.2%) were achieved for the proposed system.Higher recognition rates and lower error rates than previously implemented systems were achieved. Display Omitted This paper introduces a new approach for human recognition using heart sounds. The main contribution of this paper involves adopting wavelet packet cepstral coefficients as new features for heart sound signals in biometric applications. The proposed features utilize a non-linear wavelet packet filter banks which are designed to match the acoustic nature of the heart sound. The proposed system is evaluated using an open database for heart sounds known as HSCT-11 which contains data collected from 206 users. Based on the achieved results, the proposed system can identify users with best accuracy of 91.05% and verify them with an equal error rate of 3.2% using 200-fold random validation (random sub-sampling). The experimental results showed higher correct recognition rates and lower error rates in identification and verification modes, respectively, compared to previously implemented systems evaluated on the same database (HSCT-11).
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关键词
Heart sounds,Biometric authentication,Wavelet packets,Cepstral analysis,Linear discriminant analysis
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