Neuro Fuzzy Model for Human Face Expression Recognition
Mayur S. Burange1, S. V. Dhopte2
1Mayur S. Burange,M.E.(Scholar), PRMI Engineering & Technology, Badnera (MH) India.
2S. V. Dhopte, Associate Prof, PRMI Engineering & Technology, Badnera (MH) India.
Manuscript received on may 27, 2012. | Revised Manuscript received on June 22, 2012. | Manuscript published on June 30, 2012. | PP: 35-38 | Volume-1 Issue-5, June 2012 | Retrieval Number: E0398051512/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Face Detection, Skin Color Segmentation, Face Futures, Curve Formation and Approximation, Fuzzy Patterns.