Research Article Open Access

Investigating The Possibility Of Recognizing The Forgery By Using Spatial & Transform Domain

Abstract

This paper reveals basics of Digital (Image) Forensics.One of the most successful application digital image forgery detection has recently received significant attention, especially during the past few years. At least two trend account for this: the first accepting digital image as official document has become a common practice, and the second the availability of low cost technology in which the image could be easily manipulated. Even though there are many systems to detect the digital image forgery, their success is limited by the conditions imposed by many applications. Most existing techniques to detect such tampering are mainly at the cost of higher computational complexity.Copy-Move forgery is a specific type of image forgery,in which a part of digital image is copied and pasted to another part in the same image. In this paper we propose a method to detect duplicatedregions in an image using using Zernike moments. By using Zernike moments we can detect duplicatedregions even if they scaled or rotated, but these features cannot find flat duplicated regions. Zernike moments can solve thisproblem; we will apply Zernike moments on such regions, So duplicated region in all over the image even in flat regions will detected while the process time isefficient.Then works by first applying DWT (Discrete Wavelet Transform) tothe input image to yield a reduced dimension representation. Then the compressed image is divided into overlapping blocks.These blocks are then sorted and duplicated blocks are identifiedas similarity criterion. Finally, the feature vectors are lexicographically sorted, and duplicated image blocks will be matched.

Joshi Chintal J, Prof. Shailendra KMishra

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