期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2013
卷号：2
期号：7
出版社：IJECSCSE
摘要：Facial expression plays a principal role in human interaction and communication since it contains critical and necessary information regarding emotion. The task of automatically recognizing different facial expressions in human-computer environment is significant and challenging. In this paper, we report our experiments on feature-based facial expression recognition within an architecture based on Hopfield Network. For Feature Extraction the Principal Component Analysis will be used. After extracting the features the eigenvectors will be generated this will be further fed into the Hopfield Network for Expression Recognition
