Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm

Viola-Jones algorithm can be categorized as one of an established and effective method (feature-based approach) for detecting face. It consists of three main processes which are Haar features, Adaboost and Cascading. These processes involved scanning the patterns of human face through all the pixels...

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Main Authors:	Ahmad Fakhri, Ab. Nasir, Ahmad Shahrizan, Abdul Ghani, Muhammad Aizzat, Zakaria, Anwar, P. P. Abdul Majeed, Ahmad Najmuddin, Ibrahim
Format:	Article
Language:	English
Published:	Penerbit UMP 2019
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/26527/ http://umpir.ump.edu.my/id/eprint/26527/ http://umpir.ump.edu.my/id/eprint/26527/ http://umpir.ump.edu.my/id/eprint/26527/1/Automated%20Face%20Detection%20Using%20Skin%20Colour.pdf

id	ump-26527
recordtype	eprints
spelling	ump-265272019-11-21T05:53:58Z http://umpir.ump.edu.my/id/eprint/26527/ Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani Muhammad Aizzat, Zakaria Anwar, P. P. Abdul Majeed Ahmad Najmuddin, Ibrahim TJ Mechanical engineering and machinery Viola-Jones algorithm can be categorized as one of an established and effective method (feature-based approach) for detecting face. It consists of three main processes which are Haar features, Adaboost and Cascading. These processes involved scanning the patterns of human face through all the pixels in the image. In the empirical experiment by using this algorithm, some region in the image which is supposed to be non-face region is detected as face due to the similarity of human face features. In addition, this approach only search for pattern (feature) but leaving the color information. Therefore, this paper proposes hybridization of skin color segmentation in prior to Viola-Jones algorithm. Several images with different kinds of environment (different light conditions, different face orientation) and various people ethnics (Malay, Chinese, Indian, etc.) are tested using the improved algorithm and the original Viola-Jones algorithm as well. In average, experimental results reveal the combination of YCbCr color and Viola-Jones algorithm is the best model (average accuracy is ~88%) to detect human face in various conditions. Other color model such as HSV and benchmarked algorithm are having slightly low detection rates due to some false face detection. Despite of this, this research also found that both YCbCr and HSV color model are having some limitation when dealing with darker face and lightning condition since the skin color become slightly out of range from normal skin color distribution. Penerbit UMP 2019 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/26527/1/Automated%20Face%20Detection%20Using%20Skin%20Colour.pdf Ahmad Fakhri, Ab. Nasir and Ahmad Shahrizan, Abdul Ghani and Muhammad Aizzat, Zakaria and Anwar, P. P. Abdul Majeed and Ahmad Najmuddin, Ibrahim (2019) Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 1 (1). pp. 58-63. ISSN 2637-0883 http://journal.ump.edu.my/mekatronika/article/view/375 https://doi.org/10.15282/mekatronika .v1i1.375
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani Muhammad Aizzat, Zakaria Anwar, P. P. Abdul Majeed Ahmad Najmuddin, Ibrahim Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
description	Viola-Jones algorithm can be categorized as one of an established and effective method (feature-based approach) for detecting face. It consists of three main processes which are Haar features, Adaboost and Cascading. These processes involved scanning the patterns of human face through all the pixels in the image. In the empirical experiment by using this algorithm, some region in the image which is supposed to be non-face region is detected as face due to the similarity of human face features. In addition, this approach only search for pattern (feature) but leaving the color information. Therefore, this paper proposes hybridization of skin color segmentation in prior to Viola-Jones algorithm. Several images with different kinds of environment (different light conditions, different face orientation) and various people ethnics (Malay, Chinese, Indian, etc.) are tested using the improved algorithm and the original Viola-Jones algorithm as well. In average, experimental results reveal the combination of YCbCr color and Viola-Jones algorithm is the best model (average accuracy is ~88%) to detect human face in various conditions. Other color model such as HSV and benchmarked algorithm are having slightly low detection rates due to some false face detection. Despite of this, this research also found that both YCbCr and HSV color model are having some limitation when dealing with darker face and lightning condition since the skin color become slightly out of range from normal skin color distribution.
format	Article
author	Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani Muhammad Aizzat, Zakaria Anwar, P. P. Abdul Majeed Ahmad Najmuddin, Ibrahim
author_facet	Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani Muhammad Aizzat, Zakaria Anwar, P. P. Abdul Majeed Ahmad Najmuddin, Ibrahim
author_sort	Ahmad Fakhri, Ab. Nasir
title	Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
title_short	Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
title_full	Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
title_fullStr	Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
title_full_unstemmed	Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
title_sort	automated face detection using skin color segmentation and viola-jones algorithm
publisher	Penerbit UMP
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26527/ http://umpir.ump.edu.my/id/eprint/26527/ http://umpir.ump.edu.my/id/eprint/26527/ http://umpir.ump.edu.my/id/eprint/26527/1/Automated%20Face%20Detection%20Using%20Skin%20Colour.pdf
first_indexed	2023-09-18T22:41:22Z
last_indexed	2023-09-18T22:41:22Z
_version_	1777416937558507520

Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm

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