Title :
A Statistical Approach to Biometric Identity Verification Based on Heart Sounds
Author :
Beritelli, Francesco ; Spadaccini, Andrea
Author_Institution :
Dipt. di Ing. Inf. e delle Telecomun., Univ. of Catania, Catania, Italy
Abstract :
One of the most recent innovations in the field of biometric recognition is the usage of heart sounds as physiological traits for identity verification. In this paper, we propose a statistical approach, supported by Gaussian Mixture Models, to the the problem of biometric identity verification based on heart sounds. The system is validated on a database of heart sounds acquired from 147 people, and shows a significant performance improvement with respect to other approaches, yielding an Equal Error Rate of 15.53%.
Keywords :
Gaussian processes; acoustic signal processing; biometrics (access control); cardiology; pattern recognition; security of data; Gaussian mixture model; biometric identity verification; digital heart sound analysis; physiological trait; statistical approach; Biological system modeling; Databases; Error analysis; Feature extraction; Heart; Speaker recognition; Training; Gaussian Mixture Models; biometric recognition; digital heart sounds analysis;
Conference_Titel :
Emerging Security Information Systems and Technologies (SECURWARE), 2010 Fourth International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4244-7517-9
Electronic_ISBN :
978-0-7695-4095-5
DOI :
10.1109/SECURWARE.2010.23
