Facial Expression Recognition Using Principal Component Analysis

258 Abstract— Expression detection is useful as a non-invasive method of lie detection and behaviour prediction. However, these facial expressions may be difficult to detect to the untrained eye. In this paper we implements facial expression recognition techniques using Principal Component analysis (PCA). Experiments are performed using standard database like Japanese Female Facial Expression (JAFFE) database. The universally accepted six principal emotions to be recognized are: Angry, Happy, Sad, Disgust, Fear and Surprise along with neutral. Euclidean distance based matching Classifier is used.