Parnak, A, Baleghi, Y, Kazemitabar, J and (2020). A Novel Forgery Detection Algorithm Based on Mantissa Distribution in Digital Images. Proceedings of 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), pp. 1-4.
This work cites the following items of the Benford Online Bibliography:
Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572.
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Fu, D, Shi, YQ and Su, W (2007). A generalized Benford’s law for JPEG coefficients and its applications in image forensics. Proceedings of SPIE, Volume 6505, Security, Steganography and Watermarking of Multimedia Contents IX, San Jose, California, January 28 - February 1, 2007, pp. 65051L-65051L-11. DOI:10.1117/12.704723.
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Hill, TP (1995). A Statistical Derivation of the Significant-Digit Law. Statistical Science 10(4), pp. 354-363. ISSN/ISBN:0883-4237.
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Kazemitabar, Jal and Kazemitabar, Jav (2020). Measuring the conformity of distributions to Benford's law. Communications in Statistics - Theory and Methods 49(14), pp. 3530-3536. DOI:10.1080/03610926.2019.1590599.
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Li, B, Shi, YQ and Huang, J (2008). Detecting doubly compressed JPEG images by using mode based first digit features. Proceedings of 2008 IEEE 10th Workshop on Multimedia Signal Processing, pp. 730–735. DOI:10.1109/MMSP.2008.4665171.
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Milani, S, Tagliasacchi, M and Tubaro, S (2012). Discriminating multiple JPEG compression using first digit features. Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 25-30, pp. 2253-2256. DOI:10.1109/ICASSP.2012.6288362.
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Newcomb, S (1881). Note on the frequency of use of the different digits in natural numbers. American Journal of Mathematics 4(1), pp. 39-40. ISSN/ISBN:0002-9327. DOI:10.2307/2369148.
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