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In order to solve the problem of the false matching in detecting copy-move forgeries, an improved method based on Oriented FAST and Rotated BRIEF (ORB) and YIQ color space is proposed. First, to detect the key points of the original image and extract ORB features. Secondly, for each key point, the YIQ color feature is extracted. Finally, the ORB feature descriptor and the YIQ color feature vector between every two different key points are matched to determine the copy-move regions. The experimental results show that the proposed algorithm can not only guarantee the high efficiency of the detection algorithm, but also can effectively reduce the false matching rate comparing with the ORB algorithm. What’s more, the proposed algorithm has better robustness even when an image is distorted by Gaussian blur, white noise and JPEG compression.

Copy-move Forgery Detection Based on YIQ and ORB for Color Images