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Automatic detection of handwriting forgery
Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, 2003We investigated the detection of handwriting forgery by both human and machine. We obtained experimental handwriting data from subjects writing samples in their natural style and writing forgeries of other subjects' handwriting. These handwriting samples were digitally scanned and stored in an image database.
Sung-Hyuk Cha, Charles C. Tappert
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Physics Today, 1980
Art forgery is a complex subject; it has as much to do with the personality of the faker or the salesman who markets the spurious work as it has to do with the recapturing of some past technique or mood. And it is a subject that is still highly active today, despite the unquestionably improved art historical scholarship of recent decades: the ...
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Art forgery is a complex subject; it has as much to do with the personality of the faker or the salesman who markets the spurious work as it has to do with the recapturing of some past technique or mood. And it is a subject that is still highly active today, despite the unquestionably improved art historical scholarship of recent decades: the ...
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Digital Image Forgery Detection with Focus on a Copy-Move Forgery Detection: A Survey
2023 International Conference on Cyberworlds (CW), 2023Sami Gazzah +3 more
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Improving Generalization by Commonality Learning in Face Forgery Detection
IEEE Transactions on Information Forensics and Security, 2022Zhihua Xia, Jianwei Fei, Zhili Zhou
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PRRNet: Pixel-Region relation network for face forgery detection
Pattern Recognition, 2021Yu Lingyun +2 more
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A survey on deep learning-based image forgery detection
Pattern Recognition, 2023Mohsen Sardari Zarchi
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Few-shot forgery detection via Guided Adversarial Interpolation
Pattern Recognition, 2023Haonan Qiu, Jing Shao
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