Block Projection Based Feature Extraction for Biometric Recognition with Multi-lead ECG
Shun-Chi Wu and Peng-Tzu Chen
Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.
Abstract—In order to reveal discriminant information from the multi-lead ECG to facilitate the ECG biometric recognition, two novel feature extraction algorithms are proposed in this paper. As opposed to the existing singlelead based techniques, the proposed algorithms which rely on the idea of block projection allow the features to be extracted without breaking the structure between the leads so that more information can be exploited for recognition. In addition, the algorithms require only one fiducial point (i.e., R peaks) to be determined and are applicable to any multi-lead ECG regardless of its number of leads. Detailed experiments show that the proposed algorithms outperform the existing single-lead based approaches.
Index Terms—biometric recognition, electrocardiogram (ECG), feature extraction, classification
Cite: Shun-Chi Wu and Peng-Tzu Chen, " Block Projection Based Feature Extraction for Biometric Recognition with Multi-lead ECG " International Journal of Pharma Medicine and Biological Sciences, Vol. 4, No. 2, pp. 97-100, April 2015. doi: 10.18178/ijpmbs.4.2.97-100
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