Segmentation of Facial Features based on Human Face configuration for Facial Expression System
نویسنده
چکیده
Mouth and eye plays very virtual role in the analysis of human mood. The proposed method focus on segmentation of these potential features. In this paper, an approach to the problem of facial feature detection based on human face configuration is presented . To recognize facial features from given image. Applying appropriate threshold value to find Facial feature such as eye, and mouth are extracted using statistical features, such as right array division and right array multiplications operations. Experiments are carried out on JAFFE facial expression database [12] and obtained better performance of the proposed approach in terms of accuracy.
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