An improved biometric identification system based on heart sounds and Gaussian Mixture Models

Author

Beritelli, Francesco ; Spadaccini, Andrea

Author_Institution

Telecomun. Eng. Fac., Univ. of Catania, Catania, Italy

fYear

2010

fDate

9-9 Sept. 2010

Firstpage

31

Lastpage

35

Abstract

This paper presents an evolution of a biometric identity verification system based on heart sounds. The system is built using Gaussian Mixture Models (GMMs) and uses features extracted both from the spectral domain and the time domain in order to improve the performance, measured in terms of Equal Error Rate (EER), with respect to similar systems. The best result obtained using our approach, computed over a database of 165 people, is an EER of 13,70 %, that outperforms other similar approaches.

Keywords

Gaussian processes; bioacoustics; biometrics (access control); cardiology; feature extraction; EER; Gaussian mixture models; biometric identity verification system; equal error rate; feature extraction; heart sounds; spectral domain; time domain; Biological system modeling; Biometrics; Computational modeling; Databases; Error analysis; Feature extraction; Heart; Gaussian Mixture Models; biometric recognition; digital heart sounds analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2010 IEEE Workshop on

Conference_Location

Taranto

Print_ISBN

978-1-4244-6302-2

Type

conf

DOI

10.1109/BIOMS.2010.5610442

Filename

5610442