Gender estimation based on facial image

Although gender classification has attracted much attention in psychological literature, relatively few machine vision methods has been proposed. However it has been extensively studied in the context of surveillance applications and biometrics. This project is mainly concern with gender classificat...

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Main Author: Yajid, Azlin
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:http://eprints.utm.my/id/eprint/5289/1/AzlinYajidMFKE2005.pdf
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spelling my-utm-ep.52892018-02-28T07:56:20Z Gender estimation based on facial image 2005-04 Yajid, Azlin TK Electrical engineering. Electronics Nuclear engineering TR Photography Although gender classification has attracted much attention in psychological literature, relatively few machine vision methods has been proposed. However it has been extensively studied in the context of surveillance applications and biometrics. This project is mainly concern with gender classification using purely image processing technique. The way of doing this is by extracting the differences between male and female facial features. Obviously the classification base on a single feature is not adequate since humans share many facial properties even within different gender group. So multilayer processing is needed. This project is working as expected with specified scope of project. Although not many varieties of facial images have been considered like colored hair the basic techniques should be just the same. The proposed methods can be extended to various purposes especially in speeding up the processing time in database searching. The refinement of this project in other hand can lead to more accurate and reliable result by considering other facial properties like eyes, nose and eyebrows. 2005-04 Thesis http://eprints.utm.my/id/eprint/5289/ http://eprints.utm.my/id/eprint/5289/1/AzlinYajidMFKE2005.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
TR Photography
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
TR Photography
Yajid, Azlin
Gender estimation based on facial image
description Although gender classification has attracted much attention in psychological literature, relatively few machine vision methods has been proposed. However it has been extensively studied in the context of surveillance applications and biometrics. This project is mainly concern with gender classification using purely image processing technique. The way of doing this is by extracting the differences between male and female facial features. Obviously the classification base on a single feature is not adequate since humans share many facial properties even within different gender group. So multilayer processing is needed. This project is working as expected with specified scope of project. Although not many varieties of facial images have been considered like colored hair the basic techniques should be just the same. The proposed methods can be extended to various purposes especially in speeding up the processing time in database searching. The refinement of this project in other hand can lead to more accurate and reliable result by considering other facial properties like eyes, nose and eyebrows.
format Thesis
qualification_level Master's degree
author Yajid, Azlin
author_facet Yajid, Azlin
author_sort Yajid, Azlin
title Gender estimation based on facial image
title_short Gender estimation based on facial image
title_full Gender estimation based on facial image
title_fullStr Gender estimation based on facial image
title_full_unstemmed Gender estimation based on facial image
title_sort gender estimation based on facial image
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2005
url http://eprints.utm.my/id/eprint/5289/1/AzlinYajidMFKE2005.pdf
_version_ 1747814571967512576