Name
Abstract | ||
|---|---|---|
In this paper, we study the probability of using heart sound as a biometric for human authentication. The most significant contribution of using heart sound as a biometric is that it cannot be easily replicated as compared to other conventional biometrics. The proposed Heart Sound Authentication System (HSAS) consists of five main phases, namely, Heart Sound Capturing, Pre-processing, Feature Extraction, Training, and Classification and Authentication phases. The proposed biometric system comprises a digital electronic stethoscope, a computer equipped with a sound card and heart sound capturing software application. In this work, two classifiers were used, which are Mean Square Error (MSE) and K-Nearest Neighbor (KNN). Results indicated that the proposed system has attained recall 82.4% and precision 80.7% for MSE classifier and has attained recall 94.5% and precision 93% for KNN classifier for a database of 400 heart sounds that were recorded from 40 participants by 10 heart sound recordings for each participant. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/NABIC.2010.5716306 | Nature and Biologically Inspired Computing |
Keywords | Field | DocType |
acoustic signal processing,authorisation,biometrics (access control),feature extraction,learning (artificial intelligence),mean square error methods,pattern classification,KNN classifier,biometric,digital electronic stethoscope,feature extraction,heart sound authentication system,heart sound capture,heart sound capturing software application,human authentication,k-nearest neighbor,mean square error,sound card,Authentication,Biometrics,Classification,Complex Cepstrum,Feature extraction,Heart sound,K-Nearest Neighbor,Recognition | Sound card,Authentication,Pattern recognition,Computer science,Mean squared error,Feature extraction,Speech recognition,Software,Artificial intelligence,Biometrics,Classifier (linguistics),Heart sounds | Conference |
ISBN | Citations | PageRank |
978-1-4244-7377-9 | 3 | 0.50 |
References | Authors | |
4 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nashwa El-Bendary | 1 | 119 | 24.37 |
| Hameed Al-Qaheri | 2 | 32 | 9.31 |
| Hossam M. Zawbaa | 3 | 341 | 20.16 |
| Mohamed Hamed | 4 | 3 | 0.50 |
| Aboul Ella Hassanien | 5 | 1610 | 192.72 |
| Qiangfu Zhao | 6 | 214 | 62.36 |
| Ajith Abraham | 7 | 8954 | 729.23 |
| El-Bendary, N. | 8 | 3 | 0.50 |
| Al-Qaheri, H. | 9 | 3 | 0.50 |