Wavelet based approach for facial expression recognition
Facial expression recognition is one of the most active fields of research. Many facial expression recognition methods have been developed and implemented. Neural networks (NNs) have capability to undertake such pattern recognition tasks. The key factor of the use of NN is based on its characteristi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2015-03-01
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| Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
| Subjects: | |
| Online Access: | http://ijain.org/index.php/IJAIN/article/view/7 |
| _version_ | 1819101044187070464 |
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| author | Zaenal Abidin Alamsyah Alamsyah |
| author_facet | Zaenal Abidin Alamsyah Alamsyah |
| author_sort | Zaenal Abidin |
| collection | DOAJ |
| description | Facial expression recognition is one of the most active fields of research. Many facial expression recognition methods have been developed and implemented. Neural networks (NNs) have capability to undertake such pattern recognition tasks. The key factor of the use of NN is based on its characteristics. It is capable in conducting learning and generalizing, non-linear mapping, and parallel computation. Backpropagation neural networks (BPNNs) are the approach methods that mostly used. In this study, BPNNs were used as classifier to categorize facial expression images into seven-class of expressions which are anger, disgust, fear, happiness, sadness, neutral and surprise. For the purpose of feature extraction tasks, three discrete wavelet transforms were used to decompose images, namely Haar wavelet, Daubechies (4) wavelet and Coiflet (1) wavelet. To analyze the proposed method, a facial expression recognition system was built. The proposed method was tested on static images from JAFFE database. |
| first_indexed | 2024-12-22T01:12:24Z |
| format | Article |
| id | doaj.art-809b20e36e45436b93f89abf1188c94c |
| institution | Directory Open Access Journal |
| issn | 2442-6571 2548-3161 |
| language | English |
| last_indexed | 2024-12-22T01:12:24Z |
| publishDate | 2015-03-01 |
| publisher | Universitas Ahmad Dahlan |
| record_format | Article |
| series | IJAIN (International Journal of Advances in Intelligent Informatics) |
| spelling | doaj.art-809b20e36e45436b93f89abf1188c94c2022-12-21T18:43:57ZengUniversitas Ahmad DahlanIJAIN (International Journal of Advances in Intelligent Informatics)2442-65712548-31612015-03-011171410.26555/ijain.v1i1.75Wavelet based approach for facial expression recognitionZaenal Abidin0Alamsyah Alamsyah1Semarang State University & School of Engineering and Advanced Technology, Massey University, Albany, New ZealandSemarang State UniversityFacial expression recognition is one of the most active fields of research. Many facial expression recognition methods have been developed and implemented. Neural networks (NNs) have capability to undertake such pattern recognition tasks. The key factor of the use of NN is based on its characteristics. It is capable in conducting learning and generalizing, non-linear mapping, and parallel computation. Backpropagation neural networks (BPNNs) are the approach methods that mostly used. In this study, BPNNs were used as classifier to categorize facial expression images into seven-class of expressions which are anger, disgust, fear, happiness, sadness, neutral and surprise. For the purpose of feature extraction tasks, three discrete wavelet transforms were used to decompose images, namely Haar wavelet, Daubechies (4) wavelet and Coiflet (1) wavelet. To analyze the proposed method, a facial expression recognition system was built. The proposed method was tested on static images from JAFFE database.http://ijain.org/index.php/IJAIN/article/view/7Wavelet transformsBackpropagation neural networkFacial expressionPattern recognition |
| spellingShingle | Zaenal Abidin Alamsyah Alamsyah Wavelet based approach for facial expression recognition IJAIN (International Journal of Advances in Intelligent Informatics) Wavelet transforms Backpropagation neural network Facial expression Pattern recognition |
| title | Wavelet based approach for facial expression recognition |
| title_full | Wavelet based approach for facial expression recognition |
| title_fullStr | Wavelet based approach for facial expression recognition |
| title_full_unstemmed | Wavelet based approach for facial expression recognition |
| title_short | Wavelet based approach for facial expression recognition |
| title_sort | wavelet based approach for facial expression recognition |
| topic | Wavelet transforms Backpropagation neural network Facial expression Pattern recognition |
| url | http://ijain.org/index.php/IJAIN/article/view/7 |
| work_keys_str_mv | AT zaenalabidin waveletbasedapproachforfacialexpressionrecognition AT alamsyahalamsyah waveletbasedapproachforfacialexpressionrecognition |