Performance evaluation of heart sounds biometric systems on an open dataset

Recently, many systems and approaches that employ heart sounds as physiological traits for biometric recognition have been investigated. However, those systems are often tested on small, diverse and closed datasets, making it difficult to compare their performance. In this paper, we present HSCT-11, an open dataset containing data collected from 206 people that can be used for performance evaluation of heart sounds biometric systems, and we use it to benchmark two such systems. The most performing one shows an Equal Error Rate of 13.66 % on this database, a result that will be the baseline for all the future evaluations made using this dataset.

[1]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  Nicholas W. D. Evans,et al.  ALIZE/spkdet: a state-of-the-art open source software for speaker recognition , 2008, Odyssey.

[3]  Tran Huy Dat,et al.  Heart sound as a biometric , 2008, Pattern Recognit..

[4]  Douglas A. Reynolds,et al.  Robust text-independent speaker identification using Gaussian mixture speaker models , 1995, IEEE Trans. Speech Audio Process..

[5]  Francesco Beritelli,et al.  Human identity verification based on Mel frequency analysis of digital heart sounds , 2009, 2009 16th International Conference on Digital Signal Processing.

[6]  Julian Jasper,et al.  Feature extraction for human identification based on envelogram signal analysis of cardiac sounds in time-frequency domain , 2010, 2010 International Conference on Electronics and Information Engineering.

[7]  Francesco Beritelli,et al.  Heart sounds quality analysis for automatic cardiac biometry applications , 2009, 2009 First IEEE International Workshop on Information Forensics and Security (WIFS).

[8]  Francesco Beritelli,et al.  An improved biometric identification system based on heart sounds and Gaussian Mixture Models , 2010, 2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.

[9]  Wu Wei,et al.  A biometric identification system based on heart sound signal , 2010, 3rd International Conference on Human System Interaction.

[10]  Dimitrios Hatzinakos,et al.  HeartID: Cardiac biometric recognition , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[11]  Aboul Ella Hassanien,et al.  HSAS: Heart Sound Authentication System , 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

[12]  Francesco Beritelli,et al.  Human Identity Verification based on Heart Sounds: Recent Advances and Future Directions , 2011, ArXiv.

[13]  Francesco Beritelli,et al.  Biometric Identification Based on Frequency Analysis of Cardiac Sounds , 2007, IEEE Transactions on Information Forensics and Security.

[14]  Haizhou Li,et al.  Feature integration for heart sound biometrics , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.