Added to issue on GitHub

https://github.com/tesseract-ocr/tesseract/issues/733

On Thursday, April 26, 2018 at 1:35:30 PM UTC+5:30, Youcef wrote:
>
>
> I'm using master branch with tessdata_fast models
>
> Le mercredi 25 avril 2018 18:49:22 UTC+2, shree a écrit :
>
>> Which version of tesseract are you using?
>>
>> ShreeDevi
>> ____________________________________________________________
>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>>
>> On Wed, Apr 25, 2018 at 8:29 PM, Youcef <[email protected]> wrote:
>>
>>> Hi,
>>>
>>>
>>> Tesseract seems to post process its prediction.
>>>
>>> Here after, what I get after OCRizing images (same font, same size 
>>> images generated with text2image):
>>>
>>> - an image containing "12345678I" => `123456781`
>>> - an image containing "GLOTHUVFI" => `GLOTHUVFI`
>>> - an image containing "12345678H" => `12345678H`
>>> - an image containing "GLOTHUVFH" => `GLOTHUVFH`
>>> - an image containing "12345678A" => `123456784`
>>> - an image containing "GLOTHUVFA" => `GLOTHUVFA`
>>>
>>> It looks like Tesseract doesn't like a word with a some numbers and one 
>>> letter at the end. In fact, if the letter looks like a number ("I" and "A" 
>>> looks like "1" and "4" respectively), it replaces it by the closest number.
>>> I have tried to tune following parameters without any changement in the 
>>> result:
>>>
>>> - segment_penalty_dict_frequent_word
>>> - language_model_penalty_chartype
>>>
>>> Thanks for any help.
>>>
>>> Regards
>>>
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>>

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