Facial Expression Recognition Based on Texture Features
Facial expressions are a form of non-verbal communication, they appear as changes on the surface of the facial skin according to one's inner emotional states, aims, or social communications. Classification of these expressions is a normal process for humans, but it is a challenging task for mac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Al-Nahrain Journal for Engineering Sciences
2021-12-01
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| Series: | مجلة النهرين للعلوم الهندسية |
| Subjects: | |
| Online Access: | https://nahje.com/index.php/main/article/view/913 |
| _version_ | 1819237706765434880 |
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| author | Alaa Nabeel Haj Najeb Nasser Nasser |
| author_facet | Alaa Nabeel Haj Najeb Nasser Nasser |
| author_sort | Alaa Nabeel Haj Najeb |
| collection | DOAJ |
| description | Facial expressions are a form of non-verbal communication, they appear as changes on the surface of the facial skin according to one's inner emotional states, aims, or social communications. Classification of these expressions is a normal process for humans, but it is a challenging task for machines.
Lately, interest in facial expression recognition has grown, and many systems have been developed to classify expressions from facial images. Any expression recognition system is comprised of three steps. The first one is face acquisition, then feature extraction, and finally classification. The classification accuracy depends primarily on the feature extraction step. Therefore, in this research we study many texture feature extraction descriptors and compare their results under the same preprocessing circumstances; moreover, we propose two improvements for one of these descriptors, which give better results than the original one. We validate the results on two commonly used databases for expression recognition using Matlab programming language, wishing all of that to be an interesting point for researchers in this field. |
| first_indexed | 2024-12-23T13:24:36Z |
| format | Article |
| id | doaj.art-52387844f1bf48d4a67c3f5fa76741d4 |
| institution | Directory Open Access Journal |
| issn | 2521-9154 2521-9162 |
| language | English |
| last_indexed | 2024-12-23T13:24:36Z |
| publishDate | 2021-12-01 |
| publisher | Al-Nahrain Journal for Engineering Sciences |
| record_format | Article |
| series | مجلة النهرين للعلوم الهندسية |
| spelling | doaj.art-52387844f1bf48d4a67c3f5fa76741d42022-12-21T17:45:21ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622021-12-0124210.29194/NJES.24020144Facial Expression Recognition Based on Texture FeaturesAlaa Nabeel Haj Najeb0Nasser NasserSoftware and Information Systems Dept., Tishreen University, Latakia, SyriaFacial expressions are a form of non-verbal communication, they appear as changes on the surface of the facial skin according to one's inner emotional states, aims, or social communications. Classification of these expressions is a normal process for humans, but it is a challenging task for machines. Lately, interest in facial expression recognition has grown, and many systems have been developed to classify expressions from facial images. Any expression recognition system is comprised of three steps. The first one is face acquisition, then feature extraction, and finally classification. The classification accuracy depends primarily on the feature extraction step. Therefore, in this research we study many texture feature extraction descriptors and compare their results under the same preprocessing circumstances; moreover, we propose two improvements for one of these descriptors, which give better results than the original one. We validate the results on two commonly used databases for expression recognition using Matlab programming language, wishing all of that to be an interesting point for researchers in this field.https://nahje.com/index.php/main/article/view/913Expression RecognitionFeature ExtractionTextureLBP VariantsImage Processing |
| spellingShingle | Alaa Nabeel Haj Najeb Nasser Nasser Facial Expression Recognition Based on Texture Features مجلة النهرين للعلوم الهندسية Expression Recognition Feature Extraction Texture LBP Variants Image Processing |
| title | Facial Expression Recognition Based on Texture Features |
| title_full | Facial Expression Recognition Based on Texture Features |
| title_fullStr | Facial Expression Recognition Based on Texture Features |
| title_full_unstemmed | Facial Expression Recognition Based on Texture Features |
| title_short | Facial Expression Recognition Based on Texture Features |
| title_sort | facial expression recognition based on texture features |
| topic | Expression Recognition Feature Extraction Texture LBP Variants Image Processing |
| url | https://nahje.com/index.php/main/article/view/913 |
| work_keys_str_mv | AT alaanabeelhajnajeb facialexpressionrecognitionbasedontexturefeatures AT nassernasser facialexpressionrecognitionbasedontexturefeatures |