Hi Lorenzo, Do you have a script for image pre-processing? Please share, if possible. It will be helpful to many.
On Wed, Apr 3, 2019 at 6:47 PM Lorenzo Bolzani <[email protected]> wrote: > Hi, I train with real data. I use grayscale images, I think color makes no > difference. > > I do a very good image cleanup: background removal, denoise, > straightening, sharpening, illumination correction, contrast stretching, > etc. before passing the text to tesseract. This part is likely better done > on color images (you can split in RGB/HSV channel depending on what you > need). > > So my final output is already almost "binary" and I do not do any real > binarization/thresholding, I'm not sure if tessaeract does it or not but > the difference would be minimal. > > All the images are rescaled so that the text has always the same height, > about 35/40px, with not border or a small (1/2px) border. Try with an > evaluation set and see what works best for you. > > > Bye > > Lorenzo > > Il giorno mer 3 apr 2019 alle ore 11:08 Du Kotomi <[email protected]> > ha scritto: > >> 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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