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Detection of Seam-Carving Image Based on Benford's Law for Forensic Applications

Guorui Sheng and Tiegang Gao
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Guorui Sheng: School on Information and Electronical Engineering, Ludong University, Yantai, China
Tiegang Gao: College of Software, Information Security Technology Lab, Nankai University, Tianjin, China

International Journal of Digital Crime and Forensics (IJDCF), 2016, vol. 8, issue 1, 51-61

Abstract: Seam-Carving is widely used for content-aware image resizing. To cope with the digital image forgery caused by Seam-Carving, a new detecting algorithm based on Benford's law is presented. The algorithm utilize the probabilities of the first digits of quantized DCT coefficients from individual AC modes to detect Seam-Carving images. The experimental result shows that the performance of proposed method is better than that of the method based on traditional Markov features and other existing methods.

Date: 2016
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