Comparison of Facial Feature Extraction on Stress and Normal Using Principal Component Analysis(PCA) Method

Face is included in one person's biometric characteristics that are unique. By looking at a person's face can be known whether stress or not. To determine the value of the stress on the face we conducted a comparative analysis of the extracted facial features between normal face and stress face using image processing technology. This study using Principal Component Analysis method used for extraction of features so we can know the features of each facial image data. To identify the facial image stress and image normal we researchers used questionnaires Depression Anxiety Stress Scale (DASS). At the final stage of the comparison of the extracted face normal and stress. The results of the analysis graph of the image data on the face that stress has a percentage above average image amounted to 50.38% and the percentage below the average image amounted to 49.63%, while the data of face images normal have a percentage above average image to forty three poin eighty one percent and the percentage image below the average to 56.19%.