An Overview of Multi-layer Security System Using Biometrics

Chaczko, Z; Sethi, H; Alsawwaf, MK

An Overview of Multi-layer Security System Using Biometrics

Chaczko, Z

Sethi, H Alsawwaf, MK

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Publisher:: APCASE Foundation
Publication Type:: Conference Proceeding
Citation:: 5th Asia-Pacific Conference on Computer Aided System Engineering, 2017, pp. 68 - 70
Issue Date:: 2017-12

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Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Sethi, H	en_US
dc.contributor.author	Alsawwaf, MK https://orcid.org/0000-0003-0359-9808	en_US
dc.date	2017-11-10	en_US
dc.date.available	2017-10-13	en_US
dc.date.issued	2017-12	en_US
dc.identifier.citation	5th Asia-Pacific Conference on Computer Aided System Engineering, 2017, pp. 68 - 70	en_US
dc.identifier.isbn	978-0-9924518-0-6	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128369
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	APCASE Foundation	en_US
dc.relation.ispartof	5th Asia-Pacific Conference on Computer Aided System Engineering	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	An Overview of Multi-layer Security System Using Biometrics	en_US
dc.type	Conference Proceeding
utslib.location	Electronic	en_US
utslib.location.activity	Guilin, China	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	closed_access	*
pubs.consider-herdc	false	en_US
pubs.finish-date	2017-11-13	en_US
pubs.place-of-publication	Electronic	en_US
pubs.publication-status	Published online	en_US
pubs.start-date	2017-11-10	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/10453/128369