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

被引：27

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

页码：331 / 345

页数：15

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