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A robust human face detection algorithm based on skin color segmentation and edge detection

Automatic face detection is one of the interesting and challenging tasks in the field of computer vision. Face detection is the first and main step in many applications, especially in surveillance systems. In the present paper, a hybrid method is proposed to detect human face under different lightin...

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Main Authors: Sharifara, Ali, Mohd. Rahim, Mohd. Shafry, Sayyadi, Hamed
Format: Article
Published: Asian Research Publishing Network 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/57657/
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spelling my.utm.576572017-02-01T01:37:53Z http://eprints.utm.my/id/eprint/57657/ A robust human face detection algorithm based on skin color segmentation and edge detection Sharifara, Ali Mohd. Rahim, Mohd. Shafry Sayyadi, Hamed QA75 Electronic computers. Computer science Automatic face detection is one of the interesting and challenging tasks in the field of computer vision. Face detection is the first and main step in many applications, especially in surveillance systems. In the present paper, a hybrid method is proposed to detect human face under different lighting conditions and complex backgrounds of color images. The proposed method have used skin color segmentation methods as well as edge detection to detect face in color images. In addition, a template matching process is applied based on a linear transformation in order to detect face for the selected regions. Thus, the process can be helpful in reducing false selected regions, which have same color as face. Asian Research Publishing Network 2015 Article PeerReviewed Sharifara, Ali and Mohd. Rahim, Mohd. Shafry and Sayyadi, Hamed (2015) A robust human face detection algorithm based on skin color segmentation and edge detection. Journal of Theoretical and Applied Information Technology, 77 (1). pp. 86-94. ISSN 1991-8763
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sharifara, Ali
Mohd. Rahim, Mohd. Shafry
Sayyadi, Hamed
A robust human face detection algorithm based on skin color segmentation and edge detection
description Automatic face detection is one of the interesting and challenging tasks in the field of computer vision. Face detection is the first and main step in many applications, especially in surveillance systems. In the present paper, a hybrid method is proposed to detect human face under different lighting conditions and complex backgrounds of color images. The proposed method have used skin color segmentation methods as well as edge detection to detect face in color images. In addition, a template matching process is applied based on a linear transformation in order to detect face for the selected regions. Thus, the process can be helpful in reducing false selected regions, which have same color as face.
format Article
author Sharifara, Ali
Mohd. Rahim, Mohd. Shafry
Sayyadi, Hamed
author_facet Sharifara, Ali
Mohd. Rahim, Mohd. Shafry
Sayyadi, Hamed
author_sort Sharifara, Ali
title A robust human face detection algorithm based on skin color segmentation and edge detection
title_short A robust human face detection algorithm based on skin color segmentation and edge detection
title_full A robust human face detection algorithm based on skin color segmentation and edge detection
title_fullStr A robust human face detection algorithm based on skin color segmentation and edge detection
title_full_unstemmed A robust human face detection algorithm based on skin color segmentation and edge detection
title_sort robust human face detection algorithm based on skin color segmentation and edge detection
publisher Asian Research Publishing Network
publishDate 2015
url http://eprints.utm.my/id/eprint/57657/
_version_ 1643654041710886912
score 13.211869

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