文章基本信息

标题：Automatic Facial Expression Recognition Based on Hybrid Approach
本地全文：下载
作者：Ali K. K. Bermani ; Atef Z. Ghalwash ; Aliaa A. A. Youssif 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2012
卷号：3
期号：11
DOI：10.14569/IJACSA.2012.031117
出版社：Science and Information Society (SAI)
摘要：The topic of automatic recognition of facial expressions deduce a lot of researchers in the late last century and has increased a great interest in the past few years. Several techniques have emerged in order to improve the efficiency of the recognition by addressing problems in face detection and extraction features in recognizing expressions. This paper has proposed automatic system for facial expression recognition which consists of hybrid approach in feature extraction phase which represent a combination between holistic and analytic approaches by extract 307 facial expression features (19 features by geometric, 288 feature by appearance). Expressions recognition is performed by using radial basis function (RBF) based on artificial neural network to recognize the six basic emotions (anger, fear, disgust, happiness, surprise, sadness) in addition to the natural. The system achieved recognition rate 97.08% when applying on person-dependent database and 93.98% when applying on person-independent.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Facial expression recognition; geometric and appearance modeling; Expression recognition; Gabor wavelet; principal component analysis (PCA); neural network.