The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Detection of copy–move forgery using a method based on blur moment invariants
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Cites
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Multidimensional binary search trees used for associative searching
Bentley, J. L. (1975) · Communications of the ACM · doi:10.1145/361002.361007 · Cited by 7,520
Pattern classification and scene analysis
Chien, Y. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100577 · Cited by 3,398
Detection of Copy-Move Forgery in Digital Images
Fridrich, J. (2004) · Cited by 1,040
Exposing Digital Forgeries by Detecting Duplicated Image Regions
Popescu, A., & Farid, H. (2004) · Cited by 641
A robust content based digital signature for image authentication
Schneider, M., & Chang, S.-F. (2002) · Proceedings of 3rd IEEE International Conference on Image Processing · doi:10.1109/icip.1996.560425 · Cited by 421
Exposing digital forgeries by detecting inconsistencies in lighting
Johnson, M. K., & Farid, H. (2005) · Proceedings of the 7th workshop on Multimedia and security · doi:10.1145/1073170.1073171 · Cited by 406
Structural digital signature for image authentication: an incidental distortion resistant scheme
Lu, C.-S., & Liao, H.-Y. M. (2003) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2003.811621 · Cited by 373
A Survey of Watermarking Algorithms for Image Authentication
Rey, C., & Dugelay, J.-L. (2002) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/s1110865702204047 · Cited by 285
Degraded image analysis: an invariant approach
Flusser, J., & Suk, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.683773 · Cited by 233
Cited by
A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery
Amerini, I., Ballan, L., Caldelli, R., Del Bimbo, A., & Serra, G. (2011) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2011.2129512 · Cited by 1,044
An Evaluation of Popular Copy-Move Forgery Detection Approaches
Christlein, V., Riess, C., Jordan, J., Riess, C., & Angelopoulou, E. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2218597 · Cited by 802
Efficient Dense-Field Copy–Move Forgery Detection
Cozzolino, D., Poggi, G., & Verdoliva, L. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2455334 · Cited by 451
Information Forensics: An Overview of the First Decade
Stamm, M. C., Wu, M., & Liu, K. J. R. (2013) · IEEE Access · doi:10.1109/access.2013.2260814 · Cited by 394
Detection of Copy-Rotate-Move Forgery Using Zernike Moments
Ryu, S.-J., Lee, M.-J., & Lee, H.-K. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-16435-4_5 · Cited by 321
Metadata
- Authors
- Mahdian, B., & Saic, S.
- Venue
- Forensic Science International
- Publisher
- Elsevier BV
- Published
- 2007-09
- Volume
- 171
- Issue
- 2-3
- Pages
- 180-189
- ISSN
- 0379-0738 (ISSN-L)
- OpenAlex
- W2001788007
- Cited by
- 414
- References
- 11
- FWCI
- 6.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mahdian, B., & Saic, S. (2007). Detection of copy–move forgery using a method based on blur moment invariants. Forensic Science International. https://doi.org/10.1016/j.forsciint.2006.11.002
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
