Abstract

Every person expresses himself or herself with different facial expressions. Nowadays, recognition of facial expression is a popular topic for researchers due to the practical function in a wide variety of areas. The learning of human facial expressions is a tough and tricky domain in pattern research society. Each individual facial expression is produced by non-rigid object contortions, and these contortions are man-dependent. The main motto of this paper was to invent and apply a structure for the automatic recognition of human facial expression.

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