Gabor Wavelet Transform Based Facial Expression Recognition Using PCA and LBP

被引：0

作者：

Abdulrahman, Muzammil ^{[1
]}

Gwadabe, Tajuddeen R. ^{[1
]}

Abdu, Fahad J. ^{[1
]}

Eleyan, Alaa ^{[1
]}

机构：

[1] Mevlana Univ, Dept Elect & Elect Engn, Konya, Turkey

来源：

2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年

关键词：

Facial Expression Recognition; Gabor Wavelet Transform; Principal Component Analysis; Local Binary Patterns;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposed a facial expression recognition approach based on Gabor wavelet transform. Gabor wavelet filter is first used as pre-processing stage for extraction of the feature vector representation Dimensionality of the feature vector is reduced using Principal Component Analysis (PCA) and Local binary pattern (LBP) algorithms Experiments were carried out of using Japanese female facial expression (JAFFE) database. In all experiments conducted using JAFFE database, results obtained reveal that GW+LBP has outperformed other approaches in this paper with an average recognition rate of 90% under the same experimental setting.

引用

页码：2265 / 2268

页数：4

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