I haven't trained with real images. I would guess that training images
should be similar to what you will be using for OCR. It might be best to
test with a small set of images and see what works best for you.

On Wed, Apr 3, 2019 at 2:38 PM Du Kotomi <[email protected]> wrote:

> If we use text2image tool, there is no such problem.
>
> What about training with our real data. I have enough images for training.
> Should I need to do some preprocess like binary or resized dpi and then do
> lstm training?
>
> On Wed, Apr 3, 2019 at 16:36 Shree Devi Kumar <[email protected]>
> wrote:
>
>> Usually for LSTM training we are using synthetic images created by
>> text2image program using training text and fonts using tesstrain.sh or
>> tesstrain.py. Hence there is no question of binarization or dpi as the
>> program creates images as expected by tesseract training process.
>>
>> On Wed, Apr 3, 2019 at 12:31 PM Du Kotomi <[email protected]> wrote:
>>
>>> Anybody here?
>>>
>>> On Wed, Apr 3, 2019 at 09:57 <[email protected]> wrote:
>>>
>>>> Sorry for disturb again. I have sent my issue befire, but no one gives
>>>> the answer.   I really need your help.
>>>>
>>>>
>>>> I go through the source code and find tesseract do Otsu Thresholding
>>>> and put the binary pix in the Thresholder object.
>>>> But It seems  the Thresholder object haven't been  invoked if I use
>>>> lstm engines.
>>>> As well as dpi size,tesseract wiki said it is better for 300 dpi. This
>>>> is a requirement for tesseract 3.0 engine or even before, right?
>>>> If I training lstm tesseract, it doesn't matter whether I do binary or
>>>> resize the dpi of images, right?
>>>>
>>>>
>>>> I will be every appreciated if any response is sent. Thank you so much!
>>>>
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>> ____________________________________________________________
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