Extraction of Panic Expression Depending on Lip Detection

Expressions of a people face are the reflections of some essential evidence of his or her mission or activities. Automatically, the expressions are revealed trough different parts of face likes lip, eyes, eye-brow, forehead, etc. depending on the surrounding and environmental situation that an individual is facing or perceiving to be faced. Lip is one of the most impartial parts of Human face. Expression from a human lip is an impetuous incidence that emerges based on environmental circumferences that he or she is facing. However, in this paper we have taken lip as the parameter to extract the different types of facial expressions like happiness, fear, anger, disgust, sadness, etc. The zero crossing algorithms is used to segment the input-face-image into two regions: First one is LIP and the second one is the remaining parts of that face excluding the LIP keeping nose tip as the Base-point. The position of the segmented LIP is being tracked automatically based on Isolated System. An automated LIP detection system based on Homomorphic filter has been used with respect to Cross Correlation.