Image ForgeryDetection using Passive Image Splicing Method

Abstract

We are certainly living in an era where we are susceptible to a fantastic array of visual imagery. Image forgery recognition is developing together of the main research topic among researchers within the area of image forensics. This image forgery detection is addressed by dividing an image into blocks. In this system, efficient forgery detection and classification technique is proposed by three different stages. At first stage, we have carried out preprocessing by using bilateral filtering o remove noise. At second stage, extract unique features from forged image by using efficient feature extraction technique namely DWT. Finally, forged image is detected by classifying the type of image forgery using Artificial Neural Network (ANN). Also, the performance of the proposed method is analyzed using the subsequent metrics: accuracy, sensitivity and specificity.