Abstract
This paper present an approach to recognize human face expression and emotions based on some fuzzy pattern rules. Facial features for this specially eye and lips are extracted an approximated into curves which represents the relationship between the motion of features and change of expression. This paper focuses the concepts like face detections, skin color segmentation, face features extractions and approximation and fuzzy rules formation. Conclusion based on fuzzy patterns never been accurate but still our intension is to put more accurate results.
Cite
CITATION STYLE
Burange, Mr. M. S. (2012). Neuro Fuzzy Model for Human Face Expression Recognition. IOSR Journal of Computer Engineering, 1(2), 01–06. https://doi.org/10.9790/0661-0120106
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