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. 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