Exploring in face recognition approaches

Hamd, M; Al-Jumaily, A; Mohammad, LM

Exploring in face recognition approaches

Hamd, M Al-Jumaily, A

Mohammad, LM

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010, 2010, 2 pp. 910 - 916
Issue Date:: 2010-12-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (1.14 MB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Hamd, M	en_US
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.author	Mohammad, LM	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010, 2010, 2 pp. 910 - 916	en_US
dc.identifier.isbn	9781601321541	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16214
dc.description.abstract	Biometric recognition system refers to the automatic recognition of human beings based on their physiological and/or behavioral characteristics. First, a general Automatic Face Recognition (AFR) system framework is proposed to illustrate the processing stages of face images. The AFR includes two main phases: the enrolment phase and recognition/verification phase. Secondly, the main methods of human face recognition are presented, described and compared Different popular and modern algorithms that have been applied on living persons to verify or recognize the identity based on his/her physiological characteristic are reviewed in this paper. Also, recent face dataset is tabulated to assist the researchers how to find proper database in then-applications.	en_US
dc.relation.ispartof	Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010	en_US
dc.title	Exploring in face recognition approaches	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	1702 Cognitive Sciences	en_US
dc.location.activity	Las Vegas, Nevada, USA	en_US
dc.location.activity	ISI:000178330900012
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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

Biometric recognition system refers to the automatic recognition of human beings based on their physiological and/or behavioral characteristics. First, a general Automatic Face Recognition (AFR) system framework is proposed to illustrate the processing stages of face images. The AFR includes two main phases: the enrolment phase and recognition/verification phase. Secondly, the main methods of human face recognition are presented, described and compared Different popular and modern algorithms that have been applied on living persons to verify or recognize the identity based on his/her physiological characteristic are reviewed in this paper. Also, recent face dataset is tabulated to assist the researchers how to find proper database in then-applications.

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

http://hdl.handle.net/10453/16214