Image forgery detection approaches are varied and serve same objectives. However, the difference in image properties causes some limitations of most of these approaches. Integrate multiple forensic approaches to increase the efficiency of detecting and localize the forgery was proposed based on the same image input source. In this paper, we propose a new detector algorithm based on different image source format. We propose a fusion approach to detect a copy-move forgery based on Patch Match enhanced by the dense field technique, and sensor pattern noise based on photo response non-uniformity (PRNU). The F-measure score used same evaluation function to make the system more robust. The output result shows high efficiency of detecting and localizing the forgery in different image formats, for both passive and active forgery detection.
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