Face image quality inspection system according to ISO standard

Poor quality of face images is one of the reasons leading towards face recognition performance degradation. Therefore, this gives the motivation to have an International Standard (ISO/IEC 19794-5 Document) to provide guidelines for the usage of proper facial photographs for applications such as the...

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Main Author:	Ong, Paik We
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/32076/5/OngPaikwenMFKE2012.pdf
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id	my-utm-ep.32076
record_format	uketd_dc
spelling	my-utm-ep.320762018-04-27T01:18:42Z Face image quality inspection system according to ISO standard 2012-06 Ong, Paik We TK Electrical engineering. Electronics Nuclear engineering Poor quality of face images is one of the reasons leading towards face recognition performance degradation. Therefore, this gives the motivation to have an International Standard (ISO/IEC 19794-5 Document) to provide guidelines for the usage of proper facial photographs for applications such as the E-Passport so that the face recognition process can be carried out more effectively. Nevertheless, despite the emergence of the ISO/IEC 19794-5 Standard, traditional passport photographs quality acceptance presently used is based on human visual perceptions and is very subjective. This is because there is no standardized checking system utilized which is able to give the same result on the quality acceptance of a photo regardless where or when it is being evaluated. As a result, there is a need for a system that is able to perform automatic checking on a passport size image to be developed. This project develops a system to perform automatic checking on a passport size image to ensure that it satisfies the image quality requirements according to the ISO/IEC 19794-5 Standard. The criteria considered in this project are image resolution, image aspect ratio, image brightness, image background colour, image eye distance, image head height and head width as well as image head rotation. The system developed managed to achieve at least 90% accuracy on all the attributes evaluated. 2012-06 Thesis http://eprints.utm.my/id/eprint/32076/ http://eprints.utm.my/id/eprint/32076/5/OngPaikwenMFKE2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Ong, Paik We Face image quality inspection system according to ISO standard
description	Poor quality of face images is one of the reasons leading towards face recognition performance degradation. Therefore, this gives the motivation to have an International Standard (ISO/IEC 19794-5 Document) to provide guidelines for the usage of proper facial photographs for applications such as the E-Passport so that the face recognition process can be carried out more effectively. Nevertheless, despite the emergence of the ISO/IEC 19794-5 Standard, traditional passport photographs quality acceptance presently used is based on human visual perceptions and is very subjective. This is because there is no standardized checking system utilized which is able to give the same result on the quality acceptance of a photo regardless where or when it is being evaluated. As a result, there is a need for a system that is able to perform automatic checking on a passport size image to be developed. This project develops a system to perform automatic checking on a passport size image to ensure that it satisfies the image quality requirements according to the ISO/IEC 19794-5 Standard. The criteria considered in this project are image resolution, image aspect ratio, image brightness, image background colour, image eye distance, image head height and head width as well as image head rotation. The system developed managed to achieve at least 90% accuracy on all the attributes evaluated.
format	Thesis
qualification_level	Master's degree
author	Ong, Paik We
author_facet	Ong, Paik We
author_sort	Ong, Paik We
title	Face image quality inspection system according to ISO standard
title_short	Face image quality inspection system according to ISO standard
title_full	Face image quality inspection system according to ISO standard
title_fullStr	Face image quality inspection system according to ISO standard
title_full_unstemmed	Face image quality inspection system according to ISO standard
title_sort	face image quality inspection system according to iso standard
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/32076/5/OngPaikwenMFKE2012.pdf
_version_	1747815915536252928

Face image quality inspection system according to ISO standard

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