Một lược đồ mới phát hiện ảnh giả mạo dựa trên luật Benford

  • Nguyễn Hiếu Cường Đại học Giao thông vận tải


Digital image tampering is becoming popular and might cause serious consequences on different areas. Thus, detection of image forgeries is an urgent need. There are various forgery types, which can be exposed by different forensic techniques. In this paper, we propose a new method based on Benford law, also known as the first-digit law, and the SVM classification in order to identify double JPEG compressed images and Gaussian noise added images. Experiments on large-scale image data sets show that the proposed scheme is reliable and it can achieve a high forgery detection capability, with a detection rate is about 90% or higher.

Author Biography

Nguyễn Hiếu Cường, Đại học Giao thông vận tải

1. Nguyễn Hiếu Cường, trưởng bộ môn Công nghệ phần mềm, khoa CNTT, trường ĐH GTVT

2. Võ Đức Thắng, công ty VTRADE


A. PIVA, “An Overview on image forensics”, ISRN Signal Process., vol. 2013, pp. 1–22, 2013.

J. LUKAS, J. FRIDRICH, “Estimation of primary quantization matrix in double compressed JPEG Images”, Proc. Digit. Forensic Res. Work., 2003.

A. POPESCU, “Statistical tools for digital image forensics”, PhD Thesis, Dartmouth College, Hanover, NH, USA, 2004.

J. HE, Z. LIN, L. WANG, X. TANG, “Detecting Doctored J PEG Images Via DCT Coefficient Analysis”, ECCV LNCS 3953, pp. 423–435, 2006.

H. FARID, “Exposing Digital Forgeries From JPEG Ghosts”, IEEE Trans. Inf. Forensics Secur., vol. 4, no. 1, pp. 154–160, Mar. 2009.

C. CHEN, Y. SHI, W. SU, “A machine learning based scheme for double JPEG compression detection”, Proc. 19th Int. Conf. Pattern Recognization (ICPR), 2008.

F. BENFORD, “The law of anamalous numbers”, Proc. Amer. Phi. Soc., vol. vol. 78, pp. 551–572, 1938.

D. FU, Y.Q. SHI, and W. SU, “A generalized Benford’s law for JPEG coefficients and its applications in image forensics”, Proc. SPIE. 2007.

N. CƯỜNG, V. THẮNG, “Ứng dụng luật chữ số thứ nhất phát hiện dấu hiệu giả mạo trên ảnh JPEG”, Tạp chí Khoa học Giao thông vận tải, 11/2015.

S. MILANI, M. TAGLIASACCHI, S. TUBARO, “Discriminating multiple JPEG compressions using first digit features”, APSIPA Trans. on Signal and Information Processing, Vol 3, 2014.

G. WALLACE, “The JPEG still picture compression standard”, IEEE Trans. Consum. Electron., pp. 1–17, 1991.

V. VAPNIK, “Statistical learning theory”, John Wiley, 1998.


G. SCHAEFER, M. STICH, “UCID - An Uncompressed Colour Image Database”, 2004.

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