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Within the last several years, recognition of human's facial expression has been very active research area of computer vision. It has the important role in the Human-Computer Interaction (HCI) systems. This paper proposes a novel fuzzy method for facial expression recognition on still images of the face. The new technique involves in extracting mathematical data from some special regions of the face and fed them to a fuzzy rule-based system. Fuzzification operation uses triangular membership functions for both input and output. The distinct feature of a system is its simplicity and high accuracy. Experimental results on JAFFEE database indicate good performance of the developed technique.
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