Gabhane, P, Rahangdale, P, Raipure, P, Sinde, S and Rathod, S.C. (2023). Analyzing the Effectiveness of Benford's Law in Detecting Image Forgery: A Systematic Review. International Research Journal of Modernization in Engineering Technology and Science 5(5).
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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Berger, A and Hill, TP (2015). An Introduction to Benford's Law. Princeton University Press: Princeton, NJ. ISSN/ISBN:9780691163062.
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Frost, J (2023). Benford’s Law Explained with Examples. Posted on Statistics by Jim blog; last accessed June 28, 2023.
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Moin, SS and Islam, S (2017). Benford's law for detecting contrast enhancement. Proceedings of 2017 Fourth International Conference on Image Information Processing (ICIIP), Dec 21-23, pp. 1-4. DOI:10.1109/ICIIP.2017.8313717.
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Perez-Gonzalez, F, Heileman, GL and Abdallah, CT (2007). Benford's Law in Image Processing. Image Processing, pp I-405 - I-408. ICIP 2007. IEEE International Conference. ISSN/ISBN:1522-4880. DOI:10.1109/ICIP.2007.4378977.
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Tammaru, M and Alver, L (2016). Application of Benford's Law for Fraud Detection in Financial Statements: Theoretical Review. Proceedings of the 5th International Conference on Accounting, Auditing, and Taxation (ICAAT 2016), pp. 0468-0472. DOI:10.2991/icaat-16.2016.46.
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Wang, J, Cha, B-H, Cho, S-H and Kuo, C-CJ (2009). Understanding Benford’s Law and its Vulnerability in Image Forensics. IEEE International Conference on Multimedia and Expo, ICME 2009, pp. 1568 - 1571. ISSN/ISBN:1945-7871. DOI:10.1109/ICME.2009.5202811.
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