A Review on Development of an EEG-based Biometric Authentication System

A Review on Development of an EEG-based Biometric Authentication System

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Bibliographic Details
Main Authors: Ong, Zhi Ying, Saidatul Ardeenawatie, Awang, Vijean, Vikneswaran
Other Authors: jean-624@hotmail.com
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2019
Subjects:
Authentication
Biometric
EEG
Processing
Recognition
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57944
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Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-57944
record_format dspace
spelling my.unimap-579442019-01-14T08:16:30Z A Review on Development of an EEG-based Biometric Authentication System Ong, Zhi Ying Saidatul Ardeenawatie, Awang Vijean, Vikneswaran jean-624@hotmail.com Authentication Biometric EEG Processing Recognition Link to publisher's homepage at http://jere.unimap.edu.my The authentication system is the system that provides security and ensures confidentiality of information. Biometric systems provide the best security among other authentication systems. There are some classical approaches of biometric systems for authentication such as fingerprints, eyeballs and voices. However, the threat of fake fingerprints, eyeballs and recorded voices still compromise security walls. Electroencephalogram (EEG) signal is the electrical activity of the brain which may contain much useful information. It can possibly be used for building a robust biometric recognition because of its uniqueness. EEG signal is required to undergo advanced signal processing in order to get the useful information. There are three main stages included in advanced signal processing namely pre-processing, feature extraction and classification. The techniques of signal processing are categorized into two groups which are linear and non-linear. Although many different research activities have been reported, however, a systematic exploration of research findings yet to be done. Therefore, this paper aims to critically review significant findings in the field of signal processing and present the analysis in a simplistic manner for readers under findings. 2019-01-14T08:16:30Z 2019-01-14T08:16:30Z 2018 Article Journal of Engineering Research and Education, vol.10, 2018, pages 39-48 2232-1098 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57944 http://jere.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Authentication
Biometric
EEG
Processing
Recognition
spellingShingle Authentication
Biometric
EEG
Processing
Recognition
Ong, Zhi Ying
Saidatul Ardeenawatie, Awang
Vijean, Vikneswaran
A Review on Development of an EEG-based Biometric Authentication System
description Link to publisher's homepage at http://jere.unimap.edu.my
author2 jean-624@hotmail.com
author_facet jean-624@hotmail.com
Ong, Zhi Ying
Saidatul Ardeenawatie, Awang
Vijean, Vikneswaran
format Article
author Ong, Zhi Ying
Saidatul Ardeenawatie, Awang
Vijean, Vikneswaran
author_sort Ong, Zhi Ying
title A Review on Development of an EEG-based Biometric Authentication System
title_short A Review on Development of an EEG-based Biometric Authentication System
title_full A Review on Development of an EEG-based Biometric Authentication System
title_fullStr A Review on Development of an EEG-based Biometric Authentication System
title_full_unstemmed A Review on Development of an EEG-based Biometric Authentication System
title_sort review on development of an eeg-based biometric authentication system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57944
_version_ 1643805473288224768

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