A novel approach for facial expression recognition based on Gabor filters and genetic algorithm

被引：20
|
作者：
Boughida, Adil [1 ]
Kouahla, Mohamed Nadjib [1 ]
Lafifi, Yacine [1 ]
机构：
[1] Univ 08 May 1945 Guelma, Dept Comp Sci, LabSTIC Lab, Guelma, Algeria
来源：
EVOLVING SYSTEMS | 2022年 / 13卷 / 02期
关键词：
Emotion; Region of interest; Gabor filters; Support vector machine; Genetic algorithms; FEATURE-SELECTION; EMOTION RECOGNITION; 2D GABOR; OPTIMIZATION; SYSTEM; 3D;
D O I：
10.1007/s12530-021-09393-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces a new facial expression recognition method based on Gabor filters and a genetic algorithm. Gabor features are extracted from regions of interest of the human face detected using facial landmarks. In addition, a genetic algorithm was designed to optimize SVM hyperparameters and select the best features simultaneously. The experimental results show the outperformance of the method and recognition rates of 96.30%, 94.20%, and 94.26% for JAFFE, CK, and CK+ datasets, respectively.
引用
收藏
页码：331 / 345
页数：15
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