A new algorithm for human face detection using skin color tone

Human face recognition systems have gained a considerable attention during last decade due to its vast applications in the field of computer and advantages over previous biometric methods. There are many applications with respect to security, sensitivity and secrecy. Face detection is the most impor...

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Main Authors: Zangana, Hewa Majeed, Alshaikhli, Imad Fakhri Taha
Format: Article
Language:English
Published: IOSR Journal 2013
Subjects:
Online Access:http://irep.iium.edu.my/36709/
http://irep.iium.edu.my/36709/
http://irep.iium.edu.my/36709/1/JCE-13.pdf
id iium-36709
recordtype eprints
spelling iium-367092014-05-23T02:59:10Z http://irep.iium.edu.my/36709/ A new algorithm for human face detection using skin color tone Zangana, Hewa Majeed Alshaikhli, Imad Fakhri Taha QA75 Electronic computers. Computer science Human face recognition systems have gained a considerable attention during last decade due to its vast applications in the field of computer and advantages over previous biometric methods. There are many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. This paper introduces a new approach to face detection systems using the skin color of a subject. This system can detect a face regardless of the background of the picture, which is an important phase for face identification. The images used in this system are color images which give additional information about the images than the gray images provide. In face detection, the two respective classes are the "face area" and the "non-face area". This new approach to face detection is based on color tone values specially defined for skin area detection within the image frame. This system first resizes the image, and then separates it into its component R, G, and B bands. These bands are transformed into another color space which is YCbCr space and then into YC’bC’r space (the skin color tone). The morphological process is implemented on the presented image to make it more accurate. At last, the projection face area is taken by this system to determine the face area. Experimental results show that the proposed algorithm is good enough to localize a human face in an image with an accuracy of 92.69%. IOSR Journal 2013-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36709/1/JCE-13.pdf Zangana, Hewa Majeed and Alshaikhli, Imad Fakhri Taha (2013) A new algorithm for human face detection using skin color tone. IOSR-Journal of Computer Engineering, 11 (6). pp. 31-38. ISSN 2278- 0661 (O), 2278-8727 (P) http://www.iosrjournals.org/iosr-jce/papers/Vol11-issue6/E01163138.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zangana, Hewa Majeed
Alshaikhli, Imad Fakhri Taha
A new algorithm for human face detection using skin color tone
description Human face recognition systems have gained a considerable attention during last decade due to its vast applications in the field of computer and advantages over previous biometric methods. There are many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. This paper introduces a new approach to face detection systems using the skin color of a subject. This system can detect a face regardless of the background of the picture, which is an important phase for face identification. The images used in this system are color images which give additional information about the images than the gray images provide. In face detection, the two respective classes are the "face area" and the "non-face area". This new approach to face detection is based on color tone values specially defined for skin area detection within the image frame. This system first resizes the image, and then separates it into its component R, G, and B bands. These bands are transformed into another color space which is YCbCr space and then into YC’bC’r space (the skin color tone). The morphological process is implemented on the presented image to make it more accurate. At last, the projection face area is taken by this system to determine the face area. Experimental results show that the proposed algorithm is good enough to localize a human face in an image with an accuracy of 92.69%.
format Article
author Zangana, Hewa Majeed
Alshaikhli, Imad Fakhri Taha
author_facet Zangana, Hewa Majeed
Alshaikhli, Imad Fakhri Taha
author_sort Zangana, Hewa Majeed
title A new algorithm for human face detection using skin color tone
title_short A new algorithm for human face detection using skin color tone
title_full A new algorithm for human face detection using skin color tone
title_fullStr A new algorithm for human face detection using skin color tone
title_full_unstemmed A new algorithm for human face detection using skin color tone
title_sort new algorithm for human face detection using skin color tone
publisher IOSR Journal
publishDate 2013
url http://irep.iium.edu.my/36709/
http://irep.iium.edu.my/36709/
http://irep.iium.edu.my/36709/1/JCE-13.pdf
first_indexed 2023-09-18T20:52:37Z
last_indexed 2023-09-18T20:52:37Z
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