[Scutter]

Anyone claiming these documents are not crude forgeries is either lying or incompetent. See the analysis here for details:

http://homepage.mac.com/cfj/newcomer/index.htm

[Doctor Stochastic]

If I could get a digitized (any resolution) picture of a sample of characters in the "documents" and equivalent pictures of putative typewriter font characters and MS Word characters, then I have a method (currently under review for publication by IEEE) for measuring similarities between shapes.

For, example, given an "A" from the document (several would be better) and an "A" from some font sets, I could tell which were closest. Even better, I could do it with combinations such as WA (or anything) to demonstrate kerning differences.

I actually get a metric between shapes. Zero distance implies identity and there is a triangle inequality. The method is rotation and translation invariant (means I don't have to register the images.) It is not scale invariant (however images can be presaged) but pictures at different resolutions can be compared. I should get good comparisons modulo the noise level in the pictures.