Detection of Face Morphing Attacks based on Half-Toning Feature Extraction

Abstract

In All Applications, the need for Image Security is alarmingly increasing. Multiple areas use this Image Security system. Also, there is more research going in Image Manipulation and Image Processing. Here, we introduce a Halftoning method with LU Decomposition and self-Recovery in the Medical industry. To Find the tampering ratio, we need to check for Peak Signal to Noise Ratio (PSNR) value or Percentage. In this paper, we will be seeing the Correction of the image and recovery of the image. At first the input image is divided into 4*4 matrixes. Then LU is used to find out the changes in the original image. The recovery watermark is created in this halftoning method. For the analyze of standard of the output images, peak signal to noise ratio is utilized. The advantage in our method is contrasted with other variety of techniques, in a way that standard of the watermark images and recuperation rate of others were analyzed by exploratory outputs.