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Parnak, A, Damavandi, YB and Kazemitabar, SJ (2022). A Novel Image Splicing Detection Algorithm based on Generalized and Traditional Benford’s Law. International Journal of Engineering, Transactions A: Basics 35(4), pp. 626-634.

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. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Bonettini, N, Bestagini, P, Milani, S and Tubaro, S (2020). On the use of Benford's law to detect GAN-generated images. Preprint arXiv:arXiv:2004.07682 [cs.CV]; last accessed April 21, 2020 (2020 25th International Conference on Pattern Recognition (ICPR), pp. 5495-5502) . View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Li, XH, Zhao, YQ, Liao, M, Shih, FY and Shi, YQ (2012). Detection of tampered region for JPEG images by using mode-based first digit features. EURASIP Journal on Advances in Signal Processing, 2012:190. DOI:10.1186/1687-6180-2012-190. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094. View Complete Reference Online information Works that this work references Works that reference this work
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. DOI:10.1109/ICSPIS51611.2020.9349611. View Complete Reference Online information Works that this work references Works that reference this work
Singh, N and Bansal, R (2015). Analysis of Benford's law in digital image forensics. Proceedings of 2015 International Conference on Signal Processing and Communication (ICSC), pp. 413-418. DOI:10.1109/ICSPCom.2015.7150688. View Complete Reference Online information Works that this work references Works that reference this work