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

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Author(s): Guorui Sheng (School on Information and Electronical Engineering, Ludong University, Yantai, China)and Tiegang Gao (College of Software, Information Security Technology Lab, Nankai University, Tianjin, China)
Copyright: 2020
Pages: 10
Source title: Digital Forensics and Forensic Investigations: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-3025-2.ch004

Keywords: Criminal Science and Forensics / Digital Crime & Forensics / Information Science Reference / Security & Forensics

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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.

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

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