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 <cyruscmy...@gmail.com> 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:
> 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):
> pixdata[x, y] = (255, 255, 255)
> is a bit slow. Do you know a better way to replace pixels in python? I
> don't know if this is off topic.
> On Wednesday, December 29, 2021 at 9:46:13 AM UTC-8 zdenop wrote:
>
>> If you properly crop text areas you get good output. E.g.
>>
>> [image: r_cropped.png]
>>
>> > tesseract r_cropped.png - --dpi 300
>>
>> Rascal Does Not Dream
>> of Bunny Girl Senpai
>>
>> Zdenko
>>
>>
>> st 29. 12. 2021 o 18:21 Cyrus Yip <cyrus...@gmail.com> napísal(a):
>>
>>> here is an example of an image i would like to use ocr on:
>>> [image: drop8.png]
>>> I would like the results to be like:
>>> ["Naruto Uzumaki Naruto", "Mai Sakurajima Rascal Does Not Dream of Bunny
>>> Girl Senpai", "Keqing Genshin Impact"]
>>>
>>> Right now I'm using
>>> region1 = im.crop((0, 55, im.width, 110))
>>> region2 = im.crop((0, 312, im.width, 360))
>>> image = Image.new("RGB", (im.width, region1.height + region2.height +
>>> 20))
>>> image.paste(region1)
>>> image.paste(region2, (0, region1.height + 20))
>>> results = pytesseract.image_to_data(image,
>>> output_type=pytesseract.Output.DICT)
>>>
>>>
>>> the processed image looks like
>>> [image: hi.png]
>>> but getting results like:
>>> [' ', '»MaiSakurajima¥RascalDoesNotDreamofBunnyGirlSenpai',
>>> 'iGenshinImpact']
>>>
>>> How do I optimize the image/configs so the ocr is more accurate?
>>>
>>> Thank you.
>>>
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>>>
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