UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1803472


Registration ID:
548499

Page Number

343-345

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Title

EEG SIGNAL AS AUTHENTICATION SYSTEM

Authors

Abstract

In security related areas human identification holds a key factor. This paper discusses the usage of EEG signal for biometric system as EEG signal varies from person to person and is impossible to replicate. Data was collected from 10 persons while resting with their eyes closed at four different instants of time. A single channel portable equipment was used for data collection. Fast Fourier Transform was used for feature extraction process of the data signal and Linear Discriminant Analysis was used for classification

Key Words

EEG, Feature Extraction, Fast Fourier Transform, Classifier, Linear Discriminant Analysis

Cite This Article

"EEG SIGNAL AS AUTHENTICATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.343-345, March-2018, Available :http://www.jetir.org/papers/JETIR1803472.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"EEG SIGNAL AS AUTHENTICATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp343-345, March-2018, Available at : http://www.jetir.org/papers/JETIR1803472.pdf

Publication Details

Published Paper ID: JETIR1803472
Registration ID: 548499
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 343-345
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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