Abstract: Intrinsically identical objects can cause false positive when the image is detected by region-duplication forgerydetection.A detection algorithm was proposed based on local outlier estimation and cluster compactness.Firstly,SIFT feature is extracted and bidirectional matching is applied.Then local outlier factor and local reachability density are applied to analyze distribution of matching points after estimating influence on its neighborhood by counterfeit-Gaussian influence function,and combined with cluster compactness after affinity propagation Clustering.Finally,the support vector machine is applied to distinguish the intrinsically identical objects.Experimental results show that the proposed method,which has high accuracy rate and low false detection rate,can resist intrinsically identical objects interference effectively.

Key words: Tamper detection,Region-duplication,Intrinsically identical objects,Local outlier factor,Cluster compactness