Facial Expression Recognition Using Graph Signal Processing on HOG
Hemant Kumar Meena, Shiv Dutt Joshi, Kamalesh Kumar Sharma · IETE Journal of Research · 2019
The Histogram of Oriented Gradient (HOG) has been found to be an effective method for the face detection as well as the facial expression recognition. However, due to the large feature length of the facial expression, there is a challenge to decrease the size of the feature vector. A novel method is proposed using the graph signal processing (GSP) with the HOG to reduce the length of the feature vector and to increase the accuracy for recognizing the facial expression. The proposed method is demonstrated on CK+ and JAFFE database and the experimental performance is compared with the results of other methods using the same databases. The better recognition rate with the significant reduction in the feature length in the experimental results shows the effectiveness of the proposed algorithm.