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| Blind Detection of Splicing Image Based on Gray Level Co-occurrence Matrix of Image DCT Domain |
| CHEN Gu-Chun-a, SU Bo-b, WANG Shi-Lin-b, LI Sheng-Hong-a |
| (a.Department of Electronic Engineering; b.School of Information Security Engineering，Shanghai Jiaotong University, Shanghai 200240, China) |
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Abstract Through analysis on the characteristic of image splicing，a new image splicing blind detection approach was proposed. It extracts the gray level cooccurrence matrix（GLCM）based on the thresholded DCT coefficients of the image. The gray level cooccurrence matrixes along the four directions serve as feature vector for image splicing detection. Support vector machine（SVM）is utilized as the classifier in the proposed method. The experimental results indicate that this new scheme can achieve the accuracy of 91.2% and 98.5% on gray image dataset of Columbia University and color image dataset of Chinese academy of sciences (CAS) respectively.
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Received: 26 October 2010
Published: 31 October 2011
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