I played around a bit and replacing all colours except for text colour and
it works pretty well!
The only thing is replacing colours with:
im = im.convert("RGB")
pixdata = im.load()
for y in range(im.height):
for x in range(im.width):
if pixdata[x, y] != (51, 51, 51):
pixd
IMO if the text is always in the same area, cropping and OCR just that area
will be faster.
Zdenko
st 29. 12. 2021 o 18:58 Cyrus Yip napísal(a):
> I played around a bit and replacing all colours except for text colour and
> it works pretty well!
>
> The only thing is replacing colours with:
>
No. The problem is document layout and text detection.
Tesseract is OCR engine - it can detect text but on images with simple
layouts (books page, newspaper, etc).
The input image is too complex, so for a good result you need to send to
tesseract API only text region.
If the input image is the sa
but won't multiple ocr's and crops use a lot of time?
On Wednesday, December 29, 2021 at 10:15:26 AM UTC-8 zdenop wrote:
> IMO if the text is always in the same area, cropping and OCR just that
> area will be faster.
>
> Zdenko
>
>
> st 29. 12. 2021 o 18:58 Cyrus Yip napísal(a):
>
>> I played a
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