Human identity verification based on Mel frequency analysis of digital heart sounds

Authors:
Francesco Beritelli;Andrea Spadaccini
Affiliations:
Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, University of Catania, Italy;Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, University of Catania, Italy
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

Citing 2
Cited 0

Heart sound as a biometric

Pattern Recognition
Biometric Identification Based on Frequency Analysis of Cardiac Sounds

IEEE Transactions on Information Forensics and Security - Part 2

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Abstract

This paper presents new results in human identity verification via frequency analysis of cardiac sounds. More specifically, the paper proposes a pattern recognition approach based on a feature set of 13 Mel Frequency Cepstral Coefficients (MFCCs) extracted from the first (S1) and second (S2) heart sounds and a metric based on the power ratio of S1 to S2. The new algorithm yields significantly better performances with respect to the previous method based on the Chirp z-transform, guaranteeing an equal error rate (EER) below 9%.