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Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems. (arXiv:2203.16730v1 [cs.CR])
April 1, 2022, 1:20 a.m. | Min Wang, Song Wang, Jiankun Hu
cs.CR updates on arXiv.org arxiv.org
As a promising candidate to complement traditional biometric modalities,
brain biometrics using electroencephalography (EEG) data has received a
widespread attention in recent years. However, compared with existing
biometrics such as fingerprints and face recognition, research on EEG
biometrics is still in its infant stage. Most of the studies focus on either
designing signal elicitation protocols from the perspective of neuroscience or
developing feature extraction and classification algorithms from the viewpoint
of machine learning. These studies have laid the ground for …
More from arxiv.org / cs.CR updates on arXiv.org
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