I am using tessdata_best.
There are no problems if text image contains a single language. Tesseract
works fine on them.

*Note:* The main problem occurs when same line in the image contains 2
language.

On Fri, Aug 30, 2019 at 2:04 PM Shree Devi Kumar <[email protected]>
wrote:

> Which traineddata are you using ? from tessdata, tessdata_best or
> tessdata_fast?
>
> Are accuracy problems only with mixed image or even for urdu only?
>
> On Fri, Aug 30, 2019 at 2:00 PM Shubham Gupta <[email protected]>
> wrote:
>
>> Tried that combination already.
>> I used following combinations:
>> 1) urd
>> 2)eng
>> 3) urd+eng
>> 4) eng+urd
>>
>> No combination used above gave me meaningful output.
>>
>> Can someone suggest me any new approach on this? Can I create a Hybrid
>> model by creating Training data consisting of both urdu and english and
>> train tesseract on that data? Is it a good approach?
>>
>> Thanks
>> Shubham
>>
>> On Fri, Aug 30, 2019 at 12:25 PM Shree Devi Kumar <[email protected]>
>> wrote:
>>
>>> Try urd+eng to give precedence to Urdu.
>>>
>>> Also see open issue
>>> https://github.com/tesseract-ocr/tesseract/issues/2626
>>>
>>> On Fri, Aug 30, 2019 at 11:26 AM Shubham Gupta <[email protected]>
>>> wrote:
>>>
>>>> Hi All
>>>>
>>>> I have one query i.e. if my Image contains both Urdu and English text,
>>>> I used -l parameter as eng+urd, but my output is all messed up and is not
>>>> correct. Can anyone help me fix this or someone who is facing the same
>>>> problem?
>>>>
>>>> I have attached the image below.
>>>>
>>>>
>>>> Thanks and Regards
>>>> Shubham
>>>>
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>
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