Distraction descriptor for brainprint authentication modelling using probability-based incremental fuzzy-rough nearest neighbour technique

The characteristics of uniqueness and proof of aliveness have driven the research in Brainprint as a biometric modality. Brainprint measuring by Electroencephalogram (EEG) suffers from low signal-to-noise ratio and are varied across time. Most of the brainprint authentication models were tested in w...

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Bibliographic Details
Main Author: Liew, Siaw Hong
Format: Thesis
Language:English
English
Published: 2021
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/26097/1/Distraction%20descriptor%20for%20brainprint%20authentication%20modelling%20using%20probability-based%20incremental%20fuzzy-rough%20nearest%20neighbour%20technique.pdf
http://eprints.utem.edu.my/id/eprint/26097/2/Distraction%20descriptor%20for%20brainprint%20authentication%20modelling%20using%20probability-based%20incremental%20fuzzy-rough%20nearest%20neighbour%20technique.pdf
http://eprints.utem.edu.my/id/eprint/26097/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121346
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