Description

ABSTRACT:

        We provide a new framework in the face recognition System by the use of (ASM) Active Shape model. Initially we detect the face from the image. After that we extract the LBP feature. It is used to find the texture feature for the face image. The LBP operator assigned a label to every pixel of a gray level image. The label mapping to a pixel is affected by the relationship between this pixel and its eight neighbors of the pixel. Active shape models (ASMs) are statistical model of the shape of objects which iteratively deform to fit to an example of the object in a new image.  The shapes are constrained by the PDM (Point Distribution Model) Statistical Shape Model to vary only in ways seen in a training set of labeled examples. To locate a better position for each point one can look for strong edges, or a match to a statistical model of what is expected at the point. Then weighted matching will be applied between the input image and database images.