生物特征识别中的心电生物信号

2017 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2017-10-01 DOI:10.1109/CCST.2017.8167817

Jorge Sanchez-Casanova, Antonio Miranda-Escalada, R. Sánchez-Reillo, Pablo Bartolome-Molina

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引用次数: 0

摘要

在本文中，作者研究了目前的艺术现状，注意到已发表的作品中存在的成就和差距。大多数差距与所使用的测试数据有关，因此与所获得结果的可靠性有关。考虑到这一点，本文不仅涵盖了对文献的回顾，而且还介绍了作者在开发一种解决方案方面的努力，该解决方案可以展示这种生物识别模式的真正潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ECG biosignals in biometric recognition

In this paper authors have studied the current state of the art, noting the achievements and gaps existing in published works. Most of the gaps are related to the testing data used, and therefore the reliability of the results obtained. With this in mind, the paper not only covers such review of the literature, but also the efforts of the authors in developing a solution that could demonstrate the real potential of this biometric modality.

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2017 International Carnahan Conference on Security Technology (ICCST)

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