A novel approach for facial expression recognition

被引：6

作者：

Adil, Boughida ^{[1
]}

Nadjib, Kouahla Mohamed ^{[1
]}

Yacine, Lafifi ^{[1
]}

机构：

[1] Univ 8 Mai 1945 Guelma, Dept Comp Sci, Guelma, Algeria

来源：

2019 4TH INTERNATIONAL CONFERENCE ON NETWORKING AND ADVANCED SYSTEMS (ICNAS 2019) | 2019年

关键词：

facial expression recognition; ROI; Gabor filters; PCA; SVM;

D O I：

10.1109/icnas.2019.8807883

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：69 / 73

页数：5

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