A novel approach for facial expression recognition
| Autor: | Kouahla Mohamed Nadjib, Boughida Adil, Lafifi Yacine |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Facial expression
Computer science business.industry 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology 050105 experimental psychology Expression (mathematics) Support vector machine ComputingMethodologies_PATTERNRECOGNITION Gabor filter Facial expression recognition Face (geometry) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Artificial intelligence business |
| Zdroj: | 2019 International Conference on Networking and Advanced Systems (ICNAS). |
| DOI: | 10.1109/icnas.2019.8807883 |
| Popis: | In this paper, we propose a new facial expression recognition approach based on the use of Gabor filter features. These features are extracted only from regions of interest (ROI). These regions are the components of the face most involved in the expression of emotions. Then we select the best features with PCA. Finally, the SVM classifier is used for the classification of basic facial expressions. The experiment results show the superiority of the method and researched recognition rates of 95.11% and 92.19% for JAFFE and CK+ datasets respectively. |
| Databáze: | OpenAIRE |
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