This seems like an ad-hoc approach. I am already converting images to grayscale. If I apply blurring, binarisation, etc. then I will solve this case but I will prompt another case to fail as a result. There is something with tesseract that fails to generalize on clearly near-identical images, 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) 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 <gyt...@gmail.com> napísal(a): >>> >>>> 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: 4.0.0-beta.1 >>>> - leptonica version: 1.75.3 >>>> - I use English .traineddata file from here: >>>> >>>> https://github.com/tesseract-ocr/tessdata_best/blob/master/eng.traineddata >>>> - I tried these page segmentation modes: 3, 7, 8, 13 - the mistake >>>> is always there. >>>> >>>> So the commands I ran were >>>> >>>> tesseract good.png output1 -l eng --psm 8 >>>> tesseract bad.png output2 -l eng --psm 8 >>>> >>>> and similarly for other PSMs >>>> >>>> >>>> My question is: how do I make tesseract more robust? Why does it make a >>>> mistake in one case but not in the other? >>>> >>>> -- >>>> You received this message because you are subscribed to the Google >>>> Groups "tesseract-ocr" group. >>>> To unsubscribe from this group and stop receiving emails from it, send >>>> an email to tesser...@googlegroups.com. >>>> To view this discussion on the web visit >>>> https://groups.google.com/d/msgid/tesseract-ocr/81a83479-b266-4686-a2d8-fae2d5916831o%40googlegroups.com >>>> >>>> <https://groups.google.com/d/msgid/tesseract-ocr/81a83479-b266-4686-a2d8-fae2d5916831o%40googlegroups.com?utm_medium=email&utm_source=footer> >>>> . >>>> >>> -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to tesseract-ocr+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/d6df0771-04e5-4e78-9109-28d91e2c2f2do%40googlegroups.com.
