Digital Image forgery Detection by Utilize combined Feature extraction techniques

Due to the increased revolution of digital technology, the process of information sharing, accessing becomes easier. But securing this information is the major critical task. The major threat is occurred in digital images by making forgeries. Several existing techniques are utilized for detection the forgeries in digital images. But still, it lacks inaccurate detection. Hence a novel technique is designed for detecting the forged images accurately. The main motive of this research is focused on detect image forgery and localize the forged region accurately. Initially, the input images obtained from digital image acquisition and the selected images are isolated as an overlapping patch. Polar Cosine Transform (PCT) with orthogonal kernel and Local Binary Pattern (LBP) approaches are used to extract features from these patches. From the features extracted from the PCT approach, the patches are detected using Multidimensional Spectral Hashing techniques (MSH) and the forged patches are filtered out. Alternatively, geometry-based image forgery detection is carried out using the LBP extracted features. Finally, the forged regions are located and detected in the digital image. The proposed approach's efficiency is measured and compared to current techniques

I. Introduction

In the recent era, the digital revolution has been developed which helps to create very easy access, share information, and processing the data. Even though they had several technological advances, the major challenge is security [1]. After some times, the discrimination of the original image and their manipulated images becomes more difficult due to the advancements in the technology as well as the powerful algorithms that manipulate the images comprising software such as Corel Draw, Photoshop, etc. these types of manipulating the original images into another form are represented as image forgery. The fundamental idea of image forgery is the digital manipulation of the images that are aimed to misrepresent some information from those images. With the help of computational approaches, the manipulations of the images are done and gained more popularity and acceptance in the various application fields such as IT, forensic investigation, medical imaging, intelligence services, and journalism. Also, due to the advent of e-government services, the security of authentic data has more challenges. The data which is in the form of files, documents, images, and voices are vulnerable to the process of manipulation. This creates a wide range of interest amongst the researchers for detecting the forgeries by developing robust approaches. Image tampering can be defined as the process of addition, alteration, or deletion of some significant features from an original image without leaving any clear trace. This image forgery can be done using various techniques.