Face Detection Technique Based on Skin Color and Facial Features

Face detection is an essential first step in face recognition systems with the purpose of localizing and extracting the face region from the background. Apart from increasing the efficiency of face recognition systems, face detection technique also opens up the door of opportunity for application...

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主要作者: Mohamed Alajel, Khalid
格式: Thesis
语言:English
English
出版: 2005
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在线阅读:http://psasir.upm.edu.my/id/eprint/5987/1/FK_2005_9.pdf
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spelling my-upm-ir.59872023-01-03T07:02:52Z Face Detection Technique Based on Skin Color and Facial Features 2005-12 Mohamed Alajel, Khalid Face detection is an essential first step in face recognition systems with the purpose of localizing and extracting the face region from the background. Apart from increasing the efficiency of face recognition systems, face detection technique also opens up the door of opportunity for application areas such as content based image retrieval, video encoding, video conferencing, crowd surveillance and intelligent human computer interfaces. This thesis presents the design of face detection approach which is capable of detecting human faces from complex background. A skin color modeling process is adopted for the face segmentation process. Image enhancement is then used to improve the face candidate before feeding to the face object classifier based on Modified Hausdroff distance. The results indicate that the system is able to detect human faces with reasonable accuracy Face - Movement Disoders Facial expression 2005-12 Thesis http://psasir.upm.edu.my/id/eprint/5987/ http://psasir.upm.edu.my/id/eprint/5987/1/FK_2005_9.pdf text en public masters Universiti Putra Malaysia Face - Movement Disoders Facial expression Engineering English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Face - Movement Disoders
Facial expression

spellingShingle Face - Movement Disoders
Facial expression

Mohamed Alajel, Khalid
Face Detection Technique Based on Skin Color and Facial Features
description Face detection is an essential first step in face recognition systems with the purpose of localizing and extracting the face region from the background. Apart from increasing the efficiency of face recognition systems, face detection technique also opens up the door of opportunity for application areas such as content based image retrieval, video encoding, video conferencing, crowd surveillance and intelligent human computer interfaces. This thesis presents the design of face detection approach which is capable of detecting human faces from complex background. A skin color modeling process is adopted for the face segmentation process. Image enhancement is then used to improve the face candidate before feeding to the face object classifier based on Modified Hausdroff distance. The results indicate that the system is able to detect human faces with reasonable accuracy
format Thesis
qualification_level Master's degree
author Mohamed Alajel, Khalid
author_facet Mohamed Alajel, Khalid
author_sort Mohamed Alajel, Khalid
title Face Detection Technique Based on Skin Color and Facial Features
title_short Face Detection Technique Based on Skin Color and Facial Features
title_full Face Detection Technique Based on Skin Color and Facial Features
title_fullStr Face Detection Technique Based on Skin Color and Facial Features
title_full_unstemmed Face Detection Technique Based on Skin Color and Facial Features
title_sort face detection technique based on skin color and facial features
granting_institution Universiti Putra Malaysia
granting_department Engineering
publishDate 2005
url http://psasir.upm.edu.my/id/eprint/5987/1/FK_2005_9.pdf
_version_ 1776100243426770944