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I suppose the approach is to create a machine learning dataset that maps hi-res scans of sample documents to the printers that produced them. If the resulting c
by RegW 9y ago
I suppose the approach is to create a machine learning dataset that maps hi-res scans of sample documents to the printers that produced them. If the resulting classifier can accurately id the printer, you have probably found a watermark, but it might just be natural variations in the manufacturing.
- Heliosmaster 9y agostill, if the result is a "fingerprint" of a printer, it'd be interesting to know, because it can be used by law enforcement too
- Paul-ish 9y agoThe difficulty in this approach is that you have an extremely large number of classes. Each printer is its own class. Typically, as the number of classes goes up, accuracy goes done. That isn't to say it isn't possible, but it would require a lot of custom hacks to any learning algorithm. Also to convince anyone that it works, you would need to test it out on an extremely large number of printers, including ones of the same model. In practice that could be expensive.
- kpil 9y agoNah, it's not feasible to know the printer model if you want to identify a laserprinted dollar. A few variants at most.