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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/81a83479-b266-4686-a2d8-fae2d5916831o%40googlegroups.com.
