Abstract

We propose a new copy-move forgery detection method, which can solve the problems of multiple copy-move forgery, low accuracy and inaccurate tampered region location. First, keypoints and corresponding features of the image are extracted by using AKAZE (accelerated KAZE). Second, features are matched by using the Hamming distance and g2NN which can detect the multiple copy-move forgery. Then, the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is used to cluster the keypoints and remove false matching. Finally, PSNR (peak signal-to-noise ratio) and morphological processing is used to locate tampered region accurately. Experimental results show that the proposed method performs well on geometric transformation, post-processing, multiple copy-move forgery, and tampered region localization.

中文翻译：

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基于密度聚类的多重复制移动伪造检测

摘要

我们提出了一种新的复制移动伪造检测方法，可以解决多次复制移动伪造，准确性低和篡改区域定位不准确的问题。首先，使用AKAZE（加速KAZE）提取图像的关键点和相应特征。其次，使用汉明距离和g2NN进行特征匹配，可以检测多次复制移动伪造。然后，使用DBSCAN（带噪声的应用程序的基于密度的空间聚类）对关键点进行聚类并消除错误的匹配。最后，使用PSNR（峰值信噪比）和形态学处理来精确定位篡改区域。实验结果表明，该方法在几何变换，后处理，多次复制移动伪造和篡改区域定位等方面表现良好。