Facial Expression Recognition Using Feature Extraction And Classification Technique
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 2
Abstract
The system-based identification of facial expressions has been a vital area of research in the literature for a long time. The most meaningful way humans exhibit emotions is byfacial expressions. The presented work confers a new framework for facial expressions recognition from video files by selectingthe Gabor features on video frames. A set of dimensionality reduction technique, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) is used to minimize the computational complexity. These feature vectors are compared with the trained vectors of different facial expressions in the database and finally, a Support Vector Machine is used to classify different kinds of facial expressions belonging to the face video frames. This method reveals a better performance ratio.
Authors and Affiliations
J. Lethisia Nithiya
Keywords
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- EP ID EP393721
- DOI 10.9790/9622-0802023745.
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