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ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation. (arXiv:2204.03992v1 [cs.LG])
April 11, 2022, 1:11 a.m. | Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez
cs.LG updates on arXiv.org arxiv.org
Electrocardiograms (ECGs) have shown unique patterns to distinguish between
different subjects and present important advantages compared to other biometric
traits, such as difficulty to counterfeit, liveness detection, and ubiquity.
Also, with the success of Deep Learning technologies, ECG biometric recognition
has received increasing interest in recent years. However, it is not easy to
evaluate the improvements of novel ECG proposed methods, mainly due to the lack
of public data and standard experimental protocols. In this study, we perform
extensive analysis …
More from arxiv.org / cs.LG updates on arXiv.org
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