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  • 标题:Facial Expressions recognition Based on Principal Component Analysis (PCA)
  • 本地全文:下载
  • 作者:Abdelmajid Hassan Mansour ; Gafar Zen Alabdeen Salh ; Ali Shaif Alhalemi
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:18
  • 期号:5
  • 页码:188-194
  • DOI:10.14445/22312803/IJCTT-V18P143
  • 出版社:Seventh Sense Research Group
  • 摘要:The facial expression recognition is an ocular task that can be performed without human discomfort, is really a speedily growing on the computer research field. There are many applications and programs uses facial expression to evaluate human character, judgment, feelings, and viewpoint. The process of rrecognizing facial expression is a hard task due to the several circumstances such as facial occlusions, face shape, illumination, face colors, and etc. This paper present a PCA methodology to distinguish expressions of faces under different circumstances and identifying it. Relies on Eigen faces technique using standard Data base images. So as to overcome the problem of difficulty to computers to identify the features and expressions of persons.
  • 关键词:Facial Expression; Recognition; PCA (Principal Component Analysis); biometrics; Neural Network; eigenvectors.
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