A Survey on Face Detection and Classification for Partially Occluded images

Image Processing

In today’s world of digitization, the major issues isauthentication and identification. Face recognition on occludedimages has many potential applications which have attractedthe attention of researchers in the last decade. In real timeapplication, face recognition is the vast research area to dealwith problems like not proper illumination, partial occlusion,low-intensity images, and external occlusion by another face, etc.Occlusion means hiding the object by another object, e.g. facecovered with a scarf, wearing glasses, beard, cap, mask, etc. is oneof the greatest challenges in face recognition system. In this paper,there are four types of generally using system: face detection,extraction, classification, and recognition. In the Existing system,it is not so much identify the exact face of a person. In thisproposed taking the different methods for face detection andrecognition for occluded images. The main purpose of this paperis to comparative study analysis of the different methods for facedetection and recognition on partially occluded images.

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