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Face Expression Recognition Using Combination of Principal Component Analysis and Euclidean Distance Based Techniques
Face expressions convey or portray nonverbal cues which play important role in interpersonal relations for humans. Humans recognize faces and expressions without delay and without much effort but making computers intelligent enough to understand the expressions is still a challenge. The use of face expression recognition and face detection is immense and limitless in behavioral science and in clinical practice. In this paper an effective and efficient algorithm has been proposed which uses the principal components of the face and compares the eigenvalues of the principal components selected .The best match of the input image gives the best face expression matched.
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