Re: [tesseract-ocr] Tesseract makes different predictions on seemingly equal images. How to make it more robust?

, and I am interested in what is it. 2020 m. liepa 15 d., trečiadienis 12:08:33 UTC+3, Tuan Ardouin rašė: > > You need to apply some pre-processing to your image. > > On Wednesday, July 15, 2020 at 9:01:14 AM UTC+2, MysteriousGuy wrote: >> >> Hi. Latest stable version (4.1.1)

Re: [tesseract-ocr] Tesseract makes different predictions on seemingly equal images. How to make it more robust?

Hi. Latest stable version (4.1.1) produces the same error 2020 m. liepa 14 d., antradienis 17:13:40 UTC+3, zdenop rašė: > > Try to use the latest version of tesseract. > > Zdenko > > > ut 14. 7. 2020 o 16:04 MysteriousGuy > > napísal(a): > >> I am using T

[tesseract-ocr] Tesseract makes different predictions on seemingly equal images. How to make it more robust?

I am using Tesseract to extract text from images attached. For some reason, even though the images are nearly identical, tesseract makes a mistake in one of them: for 'bad.png' the output is ELHADIJ, whereas for 'good.png' it is ELHADJ Here is what I have and done: - tesseract version: