Abstract
Automated security is one of the major concerns of modern times. Secure and reliable authentication of a person is in great demand. A biometric trait like the electrocardiogram (ECG) of a person is unique and secure. In this paper we propose an authentication system based on ECG by using statistical features like mean and variance of ECG waves. Statistical tests like Z −test, t −test and χ 2 −tests are used for checking the authenticity of an individual. Then confusion matrix is generated to find False Acceptance Ratio (FAR) and False Rejection Ratio (FRR). This methodology of authentication is tested on data set of 200 waves prepared from ECG samples of 40 individuals taken from Physionet QT Database. The proposed authentication system is found to have FAR of about 2.56% and FRR of about 0.13%. The overall accuracy of the system is found to be 99.81%.
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References
Jain, A.K., Ross, A., Prabhakar, S.: An Introduction to Biometric Recognition. IEEE Trans. on Circuits Sys. 14(1), 4–20 (2004)
Boles, W., Chu, S.: Personal Identification using Images of the Human Palm. In: Proc. IEEE TENCON Conf. (1997)
Hegde, C., Manu, S., Shenoy, P.D., Venugopal, K.R., Patnaik, L.M.: Secure Authentication using Image Processing and Visual Cryptography for Banking Applications. In: Proc. Int. Conf. on Advanced Computing (ADCOM 2008), pp. 65–72 (2008)
Boles, W.: A Security System based on Human Iris Identification using Wavelet Transforms. In: Proc. First Int. Conf. Knowledge-Based Intelligent Electron. Syst. (1997)
Samal, A., Iyengar, P.: Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey. Pattern Recognition 25(1), 65–77 (1992)
Hegde, C., Srinath, U.S., Aravind Kumar, R., Rashmi, D.R., Sathish, S., Shenoy, P.D., Venugopal, K.R., Patnaik, L.M.: Ear Pattern Recognition using Centroids and Cross-Points for Robust Authentication. In: Proc. Second Int. Conf. on Intelligent Human and Computer Interaction (IHCI 2010), pp. 378–384 (2010)
Dumn, D.: Using a Multi-layer Perceptron Neural for Human Voice Identification. In: Proc. Fourth Int. Conf. Signal Process. Applicat. Technol. (1993)
Hegde, C., Rahul Prabhu, H., Sagar, D.S., Vishnu Prasad, K., Shenoy, P.D., Venugopal, K.R., Patnaik, L.M.: Authentication of Damaged Hand Vein Patterns by Modularization. In: IEEE TENCON (2009)
Simon, B.P., Eswaran, C.: An ECG Classifier Designed using Modified Decision Based Neural Network. Computers and Biomedical Research 30, 257–272 (1997)
Biel, L., Pettersson, O., Philipson, L., Wide, P.: ECG Analysis: A New Approach in Human Identification. IEEE Trans. on Instrumentation and Measurement 50(3), 808–812 (2001)
Rijnbeek, P.R., Witsenburg, M., Schrama, E., Hess, J., Kors, J.A.: New Normal Limits for the Pediatric Electrocardiogram. European Heart Journal 22, 702–711 (1985)
Esbensen, K., Schonkopf, S., Midtgaard, T.: Multivariate Analysis in Practice, 1st edn., vol. 1 (1994)
Shen, T.W., Tompkins, W.J., Hu, Y.H.: One-Lead ECG for Identity Verification. In: Proc. of Second Joint Conf. of IEEE EMBS/BMES, pp. 62–63 (2002)
Kung, S.Y., Taur, J.S.: Decision-based Neural Networks with Signal/Image Classification Applications. IEEE Trans. on Neural Networks 6(1), 170–181 (1995)
Pan, J., Tompkins, W.J.: A Real Time QRS Detection Algorithm. IEEE Trans. on Biomedical Engineering 33(3), 230–236 (1985)
Singh, Y.N., Gupta, P.: Biometrics method for human identification using electrocardiogram. In: Tistarelli, M., Nixon, M.S. (eds.) ICB 2009. LNCS, vol. 5558, pp. 1270–1279. Springer, Heidelberg (2009)
Laguna, P., Mark, R.G., Goldberger, A.L., Moody, G.B.: A Database for Evaluation of Algorithms for Measurement of QT and Other Waveform Intervals in the ECG Computers in Cardiology, pp. 673–676 (1997)
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Hegde, C., Prabhu, H.R., Sagar, D.S., Deepa Shenoy, P., Venugopal, K.R., Patnaik, L.M. (2011). Statistical Analysis for Human Authentication Using ECG Waves. In: Dua, S., Sahni, S., Goyal, D.P. (eds) Information Intelligence, Systems, Technology and Management. ICISTM 2011. Communications in Computer and Information Science, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19423-8_30
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DOI: https://doi.org/10.1007/978-3-642-19423-8_30
Publisher Name: Springer, Berlin, Heidelberg
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