Digital Image Morphing Detection using Convolutional Neural Network

Abstract

Digital photographs are crucial in a variety of disciplines, including medicine, journalism, criminal and forensic investigations, and social networking. Actually, in day-to-day life, we deal with digital images. Because photo editing software and techniques are readily available, these digital photos can be quickly manipulated. Picture tampering, copy-move forging, and image compositing are all techniques that can be used to fake or modify digital images. As a result, using digital photos in situations where their authenticity is critical becomes extremely difficult. In this work, we present a technique for detecting the morphed image using Convolutional Neural Network (CNN). The approach can accurately detect the morphing image and detect it efficiently.