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Finally, they compare the new approach to other forgery detection techniques.
These people were all well-educated but with no special expertise in forgery detection.
"Our refiner mainly improves visual quality, but it only slightly encumbers forgery detection for deep-learning method trained exactly on the forged output data," they say.
Belongie is also applying fine-grained image detection methods, previously used in such applications as Visipedia and iNaturalist, to Facebook's ID forgery detection.
But the team is well aware of the cat-and-mouse nature of forgery detection: as soon as a new detection technique emerges, the race begins to find a way to fool it.
The ID forgery detection problem is extremely fine-grained, involving the ability to tell apart minute details such as a curly comma versus a straight comma and the subtle differences between fonts.
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The authors of [9] proposed a forgery-detection method using SPN to determine if an image is tampered.
"Because the paper is real, it passes many of the [forgery detection] tests, but if you look close, you can still read the word "diez" (ten) which has been reprinted with the words 'one hundred'".
In multimedia forensics, the detection of forgery on joint photographic experts group (JPEG) images is an interesting and challenging work.
Experimental results show that the proposed algorithm performs well in double JPEG compression detection and forgery localization, especially when the first compression quality factor is higher than the second.
Authentication or detection of forgeries on JPEG images plays an important role in image forensics.
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