Thanks. I put link to AddOn wiki.

Zdenko

On Sat, Apr 4, 2015 at 4:40 AM, Derek Dohler <[email protected]> wrote:

> Hi Zdenko,
>
> Sure, no problem -- I've made all the files, along with instructions, at
> https://github.com/ddohler/tesseract-georgian
>
> Cheers,
> Derek
>
> On Fri, Apr 3, 2015 at 4:06 AM, zdenko podobny <[email protected]> wrote:
>
>> Can you create a repository for your training (in sourceforge or  github)?
>>
>> Maybe with detailed description how you created it (so potentially other
>> people can try to improve/extend it).
>>
>>
>> Zdenko
>>
>> Zdenko
>>
>> On Fri, Apr 3, 2015 at 5:04 AM, Derek Dohler <[email protected]> wrote:
>>
>>> ShreeDevi,
>>>
>>> Thanks for this -- I tried re-training tesseract with a range of
>>> exposure values passed to text2image, but didn't see improved results.
>>>
>>> However, I did notice in the process that the x-heights for the document
>>> I was attempting to recognize were near the lower limit of what Tesseract
>>> can handle (~10px), so I doubled the image size. This resulted in much
>>> improved recognition; there are still errors, but fewer of them and they
>>> "make sense" now. Tesseract isn't able to segment the 5-column page layout
>>> very well, but otherwise I'm pretty happy with the results.
>>>
>>> Derek
>>>
>>> On Thu, Apr 2, 2015 at 10:16 AM, ShreeDevi Kumar <[email protected]>
>>> wrote:
>>>
>>>> Please see
>>>>
>>>> https://code.google.com/p/tesseract-ocr/source/browse/training/degradeimage.h
>>>>
>>>> https://code.google.com/p/tesseract-ocr/source/browse/training/degradeimage.cpp
>>>>
>>>> It maybe possible to do additional training using degraded versions of
>>>> 'synthetic' images which may improve recognition of older documents.
>>>>
>>>> ShreeDevi
>>>> ____________________________________________________________
>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>>>>
>>>> On Thu, Apr 2, 2015 at 7:05 PM, Sven Pedersen <[email protected]>
>>>> wrote:
>>>>
>>>>> Cool! Good work. I hope that will help the others who have been asking
>>>>> about Georgian for a couple years. :-)
>>>>> --Sven
>>>>>
>>>>> On Wed, Apr 1, 2015 at 9:28 PM, Derek <[email protected]> wrote:
>>>>>
>>>>>> I've recently finished training tesseract 3.03-rc1 on the Georgian
>>>>>> language, using tesstrain.sh and based off the files in the langdata
>>>>>> repository. I created my own word list and bigrams list using Wikipedia.
>>>>>>
>>>>>> Performance is very good on high-quality scans with modern fonts, but
>>>>>> it doesn't do very well on older documents; I'm not sure whether this is
>>>>>> because of differences in the font, or because the synthetic images
>>>>>> generated by the tesstrain.sh script don't give tesseract enough training
>>>>>> in handling degraded images.
>>>>>>
>>>>>> I've uploaded the traineddata file and all training files here:
>>>>>> https://dl.dropboxusercontent.com/u/11840441/kat_train20150401.zip
>>>>>>
>>>>>> I'm attaching a test image (a randomly-selected scan from Georgia's
>>>>>> registry of corporations) and the output of running tesseract recognition
>>>>>> on the test image. No pre-processing was done on the test image except to
>>>>>> upsample it to 300dpi. The test image contains some Latin characters so I
>>>>>> ran tesseract with the language selector "kat+eng".
>>>>>>
>>>>>> The licensing for any documents to which I hold the copyright is the
>>>>>> same as the tesseract source, i.e. the Apache License, Version 2.0 (
>>>>>> http://www.apache.org/licenses/LICENSE-2.0).
>>>>>>
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>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> ``All that is gold does not glitter,
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>>>>>
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