Special Issue Article Open Access

Detecting Multiple Copies of Copy-Move Forgery Based on SURF

Abstract

An Extensive growth in software technologies results in tampering of images. A major problem that occurs in the real world is to determine whether an image is authentic or forged. Copy-Move Forgery Detection is a special type of forgery detection approach and widely used under digital image forensics. In copy-move forgery, a specific area is copied and then pasted into any other region of the image. The main objective of this paper is to detect the multiple copies of the same region and different regions. In this paper, keypoint-based method are used. In keypoint-based method, SURF (Speeded Up Robust Features) method is used for feature extraction. The g2NN strategy is done for identifying the matched points. Then the Agglomerative Hierarchical Clustering is done on the matched points so that false detection rate can be reduced

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