Recognition of 3-D faces with missing parts and line scratch removal using new technique

This paper presents an implementation of face recognition, which is a very important task of human face identification. Line scratch detection in images is a highly challenging situation because of various characteristics of this defect. Few characteristics are considered with the different texture and geometry of images. We propose a useful algorithm for frame-by-frame line scratch detection in face image which deals with 3D approach and a filtering of detection. The temporary filtering algorithm can be used to remove false detection due to thin vertical structures by detecting the scratches on an image. Experimental evaluation can be detecting the lines and scratches on a face image and they used to solve this difficult approach. Our method is used with missing parts in an image. Three-dimensional face recognition is an extended method of facial recognition is considered according with the geometry and texture of a face. It has been elaborated that 3D face recognition methods can provide high accuracy as well as high detection with a comparison of 2D recognition. 3D avoids such mismatch effect of 2D face recognition algorithms. Additionally, most 3D scanners achieve both a 3D mesh and the texture of a face image. This allows combining the output of pure 3D matches with the more traditional algorithms of 2D face recognition, thus producing better performance.