Zdenko, are you 100% sure that the image is binarized before being fed to
the neural network? It looks like a big waste of information to me.


Il giorno mer 30 gen 2019 alle ore 07:56 Zdenko Podobny <[email protected]>
ha scritto:

> That is not true: you do not need to transform image to grayscale. Any
> image is at the end binarized (if input image is not binarized) by
> tesseract (Otsu).
>
> BUT: preprocessing image (e.g. custom binarization) will help. See
> https://github.com/tesseract-ocr/tesseract/wiki/ImproveQuality
>
> Zdenko
>
>
> st 30. 1. 2019 o 7:36 <[email protected]> napĂ­sal(a):
>
>> Not a solution, but the image needs to be transformed into grayscaleetc,
>> (using Open CV) since OCR works best with grayed images and images which
>> have size of 300 dpi
>>
>> On Tuesday, June 12, 2018 at 12:44:21 PM UTC+5:30, Vidur Malhotra wrote:
>>>
>>> I tried running the tesseract on the attached image. But not getting the
>>> desired output. My sample code:
>>>
>>>
>>> import PIL
>>> from PIL import Image
>>> import pytesseract
>>>
>>> text = pytesseract.image_to_string(Image.open('test3.jpg'), lang='eng')
>>> print(text)
>>>
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