An Efficient Architecture for Automatic Face Expression Detection

Face recognition has been a focus in research for the last couple of decades because of its wide potential applications and its importance to meet the security needs of today’s world. Security systems, criminology, physical access control and man-machine interactions are examples of applications where recognition of human faces may be crucial. The recognition of faces under varying expressions is one of the current challenges in the face recognition community. Face expression detection in images captured in unconstrained real world scenarios is an interesting problem with many potential applications. As a first contribution, facial expressions are listed on the basis of feature are listed, and the most important ones are briefly presented. This paper presents an efficient approach to face expression detection