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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| Format: | Thesis |
| Language: | English English |
| Published: |
2021
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| 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 |
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http://eprints.utem.edu.my/id/eprint/26097/1/Distraction%20descriptor%20for%20brainprint%20authentication%20modelling%20using%20probability-based%20incremental%20fuzzy-rough%20nearest%20neighbour%20technique.pdfhttp://eprints.utem.edu.my/id/eprint/26097/2/Distraction%20descriptor%20for%20brainprint%20authentication%20modelling%20using%20probability-based%20incremental%20fuzzy-rough%20nearest%20neighbour%20technique.pdf