CardioID: learning to identification from electrocardiogram data

Volume: 412, Pages: 11 - 18
Published: Oct 1, 2020
Abstract
Human identification is an important task that can help protect information security. Building deep learning models for human identification from Electrocardiogram (ECG) data is one of the highly promising technique. It has several unique advantages such as liveness detection, insensitive, easy to collect, higher security and so on. However, existing classifier-based methods only support closed-set identification, while existing matching-based...
Paper Details
Title
CardioID: learning to identification from electrocardiogram data
Published Date
Oct 1, 2020
Volume
412
Pages
11 - 18
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