if letter was not trained, than will not be recognized. e.g. putting it to
dictionary does not help (dictionaries are optional).
I think solution for you should be using eng+deu (e.g. tesseract image
output -l eng+deu)


Zdenko


On Thu, Sep 19, 2013 at 1:04 AM, <[email protected]> wrote:

> I have a document that contains German words that have the ü character
> (u+umlaut), if I OCR this document using the "der" dictionary, it
> successfully OCRs those words, and if I OCR the document using the "eng"
> dictionary, it gets them wrong as expected (Gefühl -> Gefiihl, Dörfer
> -> Derfer, schützen -> schiitzen).
>
> So as a test of the "user-words" facility I created a eng.user-words
> (attached) that contained a few German words.  When I do the OCR, it still
> gets those words wrong.
>
> Is this proof that I'm creating the user-words wrong?
>
> Thanks,
> Chris
>
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