On Wednesday, December 16, 2015 at 8:34:15 PM UTC+4, fsn7...@gmail.com wrote:
> On Wednesday, December 16, 2015 at 6:33:56 PM UTC+4, Chris Angelico wrote:
> > On Thu, Dec 17, 2015 at 1:21 AM, <fsn761...@gmail.com> wrote:
> > > I tried also another code (see below) and without scaling by 20 quality
> > > of recognition was very bad.
> > >
> > > from pytesseract import image_to_string
> > > from PIL import Image
> > >
> > > im = Image.open("screen.png")
> > > print(im)
> > > im = im.resize((214*20,26*20), Image.ANTIALIAS)
> > > print(image_to_string(im))
> >
> > If you need to scale by 20x20 to get the text recognition to work, I
> > would recommend using something other than an anti-alias filter. Omit
> > the second argument to use a simpler algorithm; you'll get a blocky
> > result, which might parse more cleanly for you.
> >
> > ChrisA
>
> It didn't help to recognize words, the main problem is that image is inclined
> to the left, like backslash.
...and sometimes there are green horizontal lines above the image.
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