Human communication is a combination of both verbal and nonverbal interactions. Facial Expressions convey non-verbal cues, which acts an important role in interpersonal relations. Facial Expressions play significant role wherever Human-computer interface required. In this paper, an optimal Neural Network has been presented to recognize from facial images. In this proposed work, firstly the image is acquired and preprocessed by using adaptive median filter and then using Active Appearance Model to extract the eye feature from the preprocessed image. Finally using Optimal Neural Networks to classify the facial expression of the image. Experiments are carried out on JAFFE facial expression database.

Preprocessing, Feature Extraction, Classification, Active Appearance Model, Neural Network

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