Author(s) :

Piyush Kadam .

Volume/Issue :

Abstract :

The human face has peculiar and specific characteristics, therefore it becomes difficult in understanding and identifying the facial expressions. It is easy to identify the facial expression of particular person in any image sequence. If we look to automated recognition system, however, the systems available are quite inadequate and incapable of accurately identify emotions. The area of facial expression identification has many important applications. It is an interactive tool between humans and computers. The user, without using the hand can go-ahead with the facial expressions. Presently, the research on facial expression are on the factors i.e. sad, happy, disgust, surprise, fear and angry. This paper aims to detect faces from any given image, extract facial features (eyes and lips) and classify them into 6 emotions (happy, fear, anger, disgust, neutral, sadness). The training data is passed through a series of filters and processes and is eventually characterized

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22