Performance Enhancement of EEG Signatures for Person Authentication Using CNN BiLSTM Method

Performance Enhancement of EEG Signatures for Person Authentication Using CNN BiLSTM Method

 Despite their vulnerability to competent forgers, signatures are one of the most widely used user verification methods. Recent research has revealed that EEG signals are harder to reproduce and give superior biometric information. This study aims to improve the effectiveness of person...

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Bibliographic Details
Main Authors: Ashish Ranjan Mishra, Rakesh Kumar, Rajkumar Saini
Format: Article
Language:English
Published: Graz University of Technology 2024-11-01
Series:Journal of Universal Computer Science
Subjects:
Deep Learning
EEG signals
BiLSTM
CNN
Person Au
Online Access:https://lib.jucs.org/article/122236/download/pdf/
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https://lib.jucs.org/article/122236/download/pdf/

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