ROBUST DECISION MAKING SYSTEM BASED ON FACIAL EMOTIONAL EXPRESSIONS

Abstract Human emotions impact is high on decision making systems. In order to avoid inconsistent effect on decision making for proper judgment emotions are recognized and according to emotions decisions are made. The difficulty of emotion recognition stems from the faces appears to be roughly alike and the difference between them is quit subtle. Frontal face images form a very dense cluster in image space which makes it virtually impossible for traditional image processing techniques. In this paper an Eigen vector based system has been presented to automatic recognize the basic emotional expressions and precisely measures. This method acquires the image and crop five significant portions mouth, nose, left eye, right eye and both eyes of image and applied eigenvector based method on each part of the database images and query image and similarities were obtained and put it in the tables to recognize the emotions. This method has given batter accuracy rate for noisy and low contrasted images with rotation variant.