Facial Expression Recognition with PCA And LDA
نویسنده
چکیده
Facial expression provides an important behavioural measure for studies of emotion, cognitive processes, and social interaction. Facial expression recognition has recently become a promising research area. Its applications include human-computer interfaces, human emotion analysis, and medical care and cure. In this paper, we are evaluating the performance of PCA and LDA to recognize seven different facial expressions of two individuals such as happy, neutral, angry, disgust, sad, fear and surprise, in the JAFFE database. Our aim is to represent best techniques which work best for facial recognition. The present study proves the feasibility of facial expression recognition for practical applications like surveillance and human computer interaction. Index Terms -Facial expression; feature representation; Face Recognition; Principal Component Analysis; Linear Discriminant Analysis; Euclidian Distance.
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