[1] Biel, L, Pettersson O, Philipson L, Wide P,"ECG analysis: a new approach in human identification," Instrumentation and Measurement ,IEEE Transactions on, vol.50, no.3, pp.808-812, Jun 2001.

[2] S. A. Israel, J. M. Irvine, A. Cheng , M. D. Wiederhold, Brenda K., Wiederhold, "ECG to identify individuals", Pattern Recognition, vol.38, , pp. 133-142, Issue 1, Jan2005.

[3] Y. Wang, F. Agrafioti, D. Hatzinakos and K. N. Plataniotis, “Analysis of Human Electrocardiogram for Biometric Recognition,” EURASIP Journal on Advances in Signal Processing, Vol. 2008, 2008, Article ID: 148658, pp. 1-11.

[4] Y. N. Singh and P. Gupta, “Biometric Method for Human Identification Using Electrocardiogram,” Proceedings of the 3rd IAPR/IEEE International Conference on Biometrics, ICB 2009, LNCS, SpringerVerlag, Berlin, Vol. 5558, 2009, pp. 1270-1279.

[5] Y. N. Singh and P. Gupta, “Correlation Based Classification of Heartbeats for Individual Identification,” Journal of Soft Computing, Vol. 15, No. 3, 2011, pp. 449- 460. doi:10.1007/s00500-009-0525-y

[6] T. W. Shen, W. J. Tompkins, and Y. H. Hu, “One-lead ECG for identity verification,” in Proceedings of the 2nd Conf. of the IEEE Eng. in Med. and Bio. Society and the Biomed. Eng. Society, vol. 1, 2002, pp. 62–63.

[7] A. Chan, M. Hamdy, A. Badre, and V. Badee, “Wavelet distance measure for person identification using electrocardiograms,” Instrumentation and Measurement, IEEE Transactions on, vol. 57, no. 2, pp. 248 –253, Feb. 2008

[8] I. Odinaka, P.-H. Lai, A. Kaplan, J. O‟Sullivan, E. Sirevaag, S. Kristjansson, A. Sheffield, and J. Rohrbaugh, “Ecg biometrics: A robust short-time frequency analysis,” in Proceedings of IEEE International Workshop on Information Forensics and Security, Dec. 2010, pp. 1 –6.

[9] J. C. Bansal et al. (eds.), Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), „Human Identification using Heartbeat Interval Features and ECG Morphology‟ Advances in Intelligent Systems and Computing 201, DOI: 10.1007/978-81-322-1038-2_8, Springer India 2013

[10] M.Tantawi, A.Salem and M.F. Tolba Faculty of Computer and Information Sciences,Ain Shams University Cairo, Egypt „ECG Signals Analysis for Biometric Recognition‟ 978-1-4799-7633-1/14/2014 IEEE

[11] Jun-Jie Wu1, Yue Zhang‟ Ecg Identification Based On Neural Networks „ Department Of Automation, Graduate School At Shenzhen, Tsinghua University, The University Town, Shenzhen, 518055,China 978-1-4799- 7208-1/14/2014 IEEE

[12] Jin Wang, Mary She, Saeid Nahavandi, Senior Member, IEEE, and Abbas Kouzani, Member, IEEE „ Human Identification From ECG Signals Via Sparse Representation of Local Segments „IEEE Signal Processing Letters, Vol. 20, No. 10, October 2013

[13] „Ecg-Based Biometrics: A Real Time Classification Approach „Andr´E Lourenc¸ Hugo Silva Y And Ana Fred 2012 IEEE International Workshop On Machine Learning For Signal Processing, Sept. 23–26, 2012, Santander, Spain

[14] Siddarth Hari, Foteini Agrafioti, Dimitrios Hatzinakos„ Design Of A Hamming-Distance Classifier For Ecg Biometrics‟The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 978-1-4799-0356-6/13/2013 IEEE

[15]‟Fiducial feature reduction analysis for electrocardiogram (ECG) based biometric recognition‟ M. M. Tantawi · K. Revett · A. Salem · M. F. Tolba Received: 19 April 2012 / Revised: 27 June 2012 / Accepted: 27 June 2012 / Published online: 20 July 2012 © Springer

[16] H. Chen, F. Zeng, K. Tseng, H. Huang, S. Tu, J. Panl. (2012, July). ECG Human Identification with Statistical Support Vector Machines. In Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on (pp. 237-240). IEEE.

[17] C. Cortes, V. Vapnik. "Support-vector networks." Machine learning 20.3 (1995): 273-297.