My suggestion would be to do post processing of the OCR output.
On Mon 2 Apr, 2018, 6:09 PM JP T, <jpt.unterw...@gmail.com> wrote:
> Hi
>
> I don't really got an understanding of the consequences of training.
>
> My problem:
> I've got tons of pages with a special format. ("one place study" about the
> historic inhabitants of a town)
>
> tesseract repeatedly fails on a few special words:
> oo (oh-oh) at start of line for "wedding" is often interpreted as 00 (zero
> zero)
> roman numbers 2 and 3 in Arial font are taken for lowercase LL or
> uppercase I plus lowercase LL
> */~ (birth at about) is percent %
> ~ is -
>
> my scans are of almost perfect quality (used Fred's scripts). so there is
> nothing I can do on that side any more.
> adding oo to user words did not help.
>
> Can I use training to solve these or should I instead write a script that
> fixes the mistakes after OCR?
> The problem is, that OCR needs to know some semantics. The Arial letters
> itself do hardly provide a hint which one is correct.
>
> thanks
>
>
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