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Facial Expression Recognition using Gabor Wavelet
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 68 - Number 23 |
| Year of Publication: 2013 |
| Authors: Mahesh Kumbhar, Manasi Patil, Ashish Jadhav |
10.5120/11718-7290
|
Mahesh Kumbhar, Manasi Patil, Ashish Jadhav . Facial Expression Recognition using Gabor Wavelet. International Journal of Computer Applications. 68, 23 ( April 2013), 13-17. DOI=10.5120/11718-7290
Abstract
Facial expression recognition (FER) has good applications in different aspects of day-to-day life. But not yet realized due to unavailability of effective expression recognition techniques. This paper discusses the application of Gabor filter based feature extraction by using feed-forward neural networks (classifier) for recognition of four different facial expressions from still pictures of the human face. The study presented here gives simple method in facial expression recognition. The study presented here gives 72. 50% recognition of facial expression for the entire database of JAFEE. In this study the Japanese Female Facial Expression (JAFFE) database used which contains expressers that expressed expressions.
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