期刊名称：Faculty of Computer Science and Information Technology
出版年度：2007
卷号：0
期号：0
语种：English
出版社：Faculty of Computer Science and Information Technology
摘要：A facial image consists of severalinformation that makes it can berecognized, one of them is facialexpression. Some basic facial expressionthat is classified by psychologist, theyare neutral expression and happy/ glad/smile. Eventhough form/ the appearanceof the expression are different betweeneach person, human can still recognizethem. The introductory system of facialexpression made, has intention inrecognizing two facial expression, theyare neutral expressions and glad/ smilingexpressions. After through detection ofareal face, thus facial image of detectionresult will be extracted using PrincipalComponent Analysis (PCA) method thatwill reduce dimension of facial image.At the introductory phase, it is used buimitative net of nerve withBackpropagation algoritme. Facialimage, that has been reduced will beinput for imitative nerve net, whichpreviously has been practiced with someof training pattern. Then, imitative nervenet will recognize expression in facialimage by calculating output. If value ofoutput tends to 0, thus facial image isrecognized as image with neutralexpression, while if the value of outputreach to 1 thus facial image isrecognized as image with gladexpression.
