On Thu, Dec 17, 2015 at 3:33 AM, <fsn761...@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.
Interesting. I'm not sure what exactly is going on, as I can't see
your image or the result, but is it possible that the text is getting
wrapped? Try printing it to a file, then pulling the file up in a text
editor with word wrap disabled. Maybe it'll look different.
ChrisA
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