• Mehang B. Patel

Facial expression recognition has many potential applications which have attracted the attention of researchers in the last decade. Feature extraction is one important step in expression analysis which contributes toward fast and accurate expression recognition. Happy, surprise, disgust, sad, anger and fear facial expressions Emotion are of facial recognition. Facial expressions are most commonly used for interpretation of human emotion. There is a range of different emotions in two categories: positive emotion and non-positive emotion. There are four types of generally using system: Face detection, extraction, Classification and recognition. In Existing system it is not so much identify exact emotion of a person . In this proposed taking the large scale image, hybrid extraction feature and ANN classification of frame based expression recognition try to detect facial expression detection and emotion detection for positive and non-positive images also design robust.

Face detection, Facial expression extraction, Expression recognition.

"A Survey Paper on Facial Expression Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 2, page no.44-46, February-2016, Available :http://www.jetir.org/papers/JETIR1602009.pdf

"A Survey Paper on Facial Expression Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 2, page no. pp44-46, February-2016, Available at : http://www.jetir.org/papers/JETIR1602009.pdf