An Overview of Multi-layer Security System Using Biometrics

Chaczko, Z; Harssh, S; Alsawwaf, M

An Overview of Multi-layer Security System Using Biometrics

Chaczko, Z

Harssh, S Alsawwaf, M

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Smart Innovations in Engineering and Technology, 2019, 15 pp. 219 - 231
Issue Date:: 2019-11-29

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Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Harssh, S	en_US
dc.contributor.author	Alsawwaf, M https://orcid.org/0000-0003-0359-9808	en_US
dc.contributor.editor	Klempous, R	en_US
dc.contributor.editor	Nikodem, J	en_US
dc.date.issued	2019-11-29	en_US
dc.identifier.citation	Smart Innovations in Engineering and Technology, 2019, 15 pp. 219 - 231	en_US
dc.identifier.isbn	978-3-030-32861-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137317
dc.description.abstract	After years of research on biometrics, still the authentication and verification of a human being is at risk. Many challenges have been faced by the system to authenticate a human on the basis of their biometric trait. The design of this paper is such that it focuses on three main biometric techniques to extract the various features of a human body contour for authentication and verification purposes. This paper presents an approach towards voice recognition patterns, face geometry patterns and gait pattern analysis to increase the accuracy and precision of the system.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Smart Innovations in Engineering and Technology	en_US
dc.relation.isbasedon	10.1007/978-3-030-32861-0_15	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	An Overview of Multi-layer Security System Using Biometrics	en_US
dc.type	Chapter
utslib.citation.volume	15	en_US
utslib.for	080303 Computer System Security	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access	*
pubs.consider-herdc	false	en_US
utslib.copyright.embargo	2021-11-29T00:00:00+1100
pubs.publication-status	Published online	en_US
pubs.volume	15	en_US

Abstract:

After years of research on biometrics, still the authentication and verification of a human being is at risk. Many challenges have been faced by the system to authenticate a human on the basis of their biometric trait. The design of this paper is such that it focuses on three main biometric techniques to extract the various features of a human body contour for authentication and verification purposes. This paper presents an approach towards voice recognition patterns, face geometry patterns and gait pattern analysis to increase the accuracy and precision of the system.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/137317