Skin Color Pixel Classification for Face Detection with Hijab and Niqab
Skin color pixel classification in color spaces with respect to threshold values of color components has been widely used in face detection algorithms. Color based face detection becomes difficult when faces are covered with hijab or niqab due to effect of fabric color. Previous studies show that, a...
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| Format: | Conference or Workshop Item |
| Language: | English |
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ACM New York
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/18792/ http://umpir.ump.edu.my/id/eprint/18792/1/fkee-2017-Tasriva-Skin%20Color%20Pixel%20Classification1.pdf |
| _version_ | 1848820760385159168 |
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| author | Tasriva, Sikandar Kamarul Hawari, Ghazali Izzeldin, I. Mohd Rabbi, M. F. |
| author_facet | Tasriva, Sikandar Kamarul Hawari, Ghazali Izzeldin, I. Mohd Rabbi, M. F. |
| author_sort | Tasriva, Sikandar |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Skin color pixel classification in color spaces with respect to threshold values of color components has been widely used in face detection algorithms. Color based face detection becomes difficult when faces are covered with hijab or niqab due to effect of fabric color. Previous studies show that, a variety of color component thresholding approach has been used for skin color pixel classification in different color spaces. This article presents a comparative analysis on skin color pixel classification using RGB and YCbCr color space for hijab and niqab covering faces. Ratio of pixels of skin area to non-skin area has been used as a performance metric in the analysis. The experiment results show that, YCbCr performs better than RGB color space for hijab and niqab with fabric color dissimilar to skin tone. But RGB method outperforms YCbCr when the fabric color is close to skin tone. The findings of this study will be helpful in designing a uniform color component thresholding approach which is robust against fabric color influence. |
| first_indexed | 2025-11-15T02:14:34Z |
| format | Conference or Workshop Item |
| id | ump-18792 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:14:34Z |
| publishDate | 2017 |
| publisher | ACM New York |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-187922021-09-03T08:24:16Z http://umpir.ump.edu.my/id/eprint/18792/ Skin Color Pixel Classification for Face Detection with Hijab and Niqab Tasriva, Sikandar Kamarul Hawari, Ghazali Izzeldin, I. Mohd Rabbi, M. F. TK Electrical engineering. Electronics Nuclear engineering Skin color pixel classification in color spaces with respect to threshold values of color components has been widely used in face detection algorithms. Color based face detection becomes difficult when faces are covered with hijab or niqab due to effect of fabric color. Previous studies show that, a variety of color component thresholding approach has been used for skin color pixel classification in different color spaces. This article presents a comparative analysis on skin color pixel classification using RGB and YCbCr color space for hijab and niqab covering faces. Ratio of pixels of skin area to non-skin area has been used as a performance metric in the analysis. The experiment results show that, YCbCr performs better than RGB color space for hijab and niqab with fabric color dissimilar to skin tone. But RGB method outperforms YCbCr when the fabric color is close to skin tone. The findings of this study will be helpful in designing a uniform color component thresholding approach which is robust against fabric color influence. ACM New York 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18792/1/fkee-2017-Tasriva-Skin%20Color%20Pixel%20Classification1.pdf Tasriva, Sikandar and Kamarul Hawari, Ghazali and Izzeldin, I. Mohd and Rabbi, M. F. (2017) Skin Color Pixel Classification for Face Detection with Hijab and Niqab. In: Proceedings of 2017 International Conference on Imaging, Signal Processing and Communication , 26-28 July 2017 , Penang, Malaysia. pp. 1-4.. ISBN 978-1-4503-5289-5 (Published) https://doi.org/10.1145/3132300.3132308 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Tasriva, Sikandar Kamarul Hawari, Ghazali Izzeldin, I. Mohd Rabbi, M. F. Skin Color Pixel Classification for Face Detection with Hijab and Niqab |
| title | Skin Color Pixel Classification for Face Detection with Hijab and Niqab |
| title_full | Skin Color Pixel Classification for Face Detection with Hijab and Niqab |
| title_fullStr | Skin Color Pixel Classification for Face Detection with Hijab and Niqab |
| title_full_unstemmed | Skin Color Pixel Classification for Face Detection with Hijab and Niqab |
| title_short | Skin Color Pixel Classification for Face Detection with Hijab and Niqab |
| title_sort | skin color pixel classification for face detection with hijab and niqab |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/18792/ http://umpir.ump.edu.my/id/eprint/18792/ http://umpir.ump.edu.my/id/eprint/18792/1/fkee-2017-Tasriva-Skin%20Color%20Pixel%20Classification1.pdf |