A novel biometric authentication approach using electrocardiogram signals. Gurkan, H., Guz, U., & Yarman, B., S. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2013.
Paper abstract bibtex In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually.
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abstract = {In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually.},
bibtype = {article},
author = {Gurkan, Hakan and Guz, Umit and Yarman, B. S.},
journal = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS}
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