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] <javascript:>
> > 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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