在智慧城市中使用心电认证进行生物识别

Rohit Rastogi, Aditi Mittal, Ishanki Verma, Pallavit Saxena
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引用次数: 0

摘要

所有的生物识别系统都基于这些模式的一些重要特征,这些特征主要以其独特性而闻名。然而,使用心脏生物识别技术的自动考勤系统因其内部独特性和专注于心脏的内部灵活性而受到关注。心脏生物识别包括ECG、SCG、PCG等不同的认证方式。它主要关注使用心电信号进行身份验证,使用支持向量机(SVM)等算法或技术进行身份验证,并使用动态时间规整进行信号匹配。所使用的算法显示出高精度的结果,所面临的挑战是相当大的,并有效地进行了改进,以进一步进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using ECG Authentication for Biometrics in Smart Cities
All the biometric systems are based on some important features of these modalities which are mainly known for their uniqueness in one way or the other. However, the automatic attendance system using heart biometrics is focused as it is internally unique and focused on internal flexibility of the heart. Heart biometrics include different authentication modalities such as ECG, SCG, PCG and so on. It is primarily focused on authentication using ECG signals which uses algorithms or techniques such as SVM (support vector machine) for authentication purposes and dynamic time warping for signal matching. Algorithms used have shown high accuracy results and the challenges faced were considerable and effectively managed to improve for further advancements.
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