Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3014
Title: Facial Expression Recognition using 2D Stationary Wavelet Transform and Gray-Level Co-occurrence Matrix
Authors: Kar, Nikunja Bihari
Korra, Satya Babu
Keywords: Facial expression recognition
Stationary wavelet transform
Gray-level co-occurrence matrix
Issue Date: Jun-2018
Citation: International Conference on Control and Computer Vision, NTU Singapore, 15-18 June, 2018
Abstract: This paper presents an automated facial expression recognition (FER) system based on two dimensional stationary wavelet transform (2D-SWT) and gray-level co-occurrence matrix (GLCM). The proposed scheme employs 2D-SWT to decompose the image into a set of sub-bands. Then GLCM features are obtained from the 2D-SWT sub-bands. Subsequently, linear discriminant analysis (LDA) is harnessed to select the most relevant features. Finally, these features are used for classification of facial emotions using least squares variant of support vector machine (LS-SVM) with radial basis function (RBF) kernel. The performance of the pro-posed system is evaluated on two standard datasets namely, Extended Cohn-Kanade (CK+) and Japanese female facial expression (JAFFE). Experimental results based on 5-fold cross validation strategy indicate that the proposed scheme earns an accuracy of 96.72% and 99.79% over CK+ and JAFFE dataset respectively, which are superior to other competent schemes.
Description: Copyright of this document belongs to proceedings publisher.
URI: http://hdl.handle.net/2080/3014
Appears in Collections:Conference Papers

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