@article{(Open Science Index):https://publications.waset.org/pdf/9556,
	  title     = {A New Approach to ECG Biometric Systems: A Comparitive Study between LPC and WPD Systems},
	  author    = {Justin Leo Cheang Loong and  Khazaimatol S Subari and  Rosli Besar and  Muhammad Kamil Abdullah},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, a novel method for a biometric system based on the ECG signal is proposed, using spectral coefficients computed through linear predictive coding (LPC). ECG biometric systems have traditionally incorporated characteristics of fiducial points of the ECG signal as the feature set. These systems have been shown to contain loopholes and thus a non-fiducial system allows for tighter security. In the proposed system, incorporating non-fiducial features from the LPC spectrum produced a segment and subject recognition rate of 99.52% and 100% respectively. The recognition rates outperformed the biometric system that is based on the wavelet packet decomposition (WPD) algorithm in terms of recognition rates and computation time. This allows for LPC to be used in a practical ECG biometric system that requires fast, stringent and accurate recognition.
},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {4},
	  number    = {8},
	  year      = {2010},
	  pages     = {340 - 345},
	  ee        = {https://publications.waset.org/pdf/9556},
	  url   	= {https://publications.waset.org/vol/44},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 44, 2010},
	}