Hi Zdenko,
Thanks. Your insights have been instrumental in helping me grasp the
concepts behind Tesseract.
I've been experimenting with various thresholding methods, such as Otsu
(0), LeptonicaOtsu (1), and Sauvola (2), and I've noticed that they yield
distinct outcomes when applied to my images.
Hi,
The most critical part is this:
https://tesseract-ocr.github.io/tessdoc/ImproveQuality.html, but I need to
stress: tesseract is OCR *engine *not OCR *suite*.
Unless your input page is not a book page scan without a
difficult structure, you need to do your part like image processing and
documen
Hi Zdenko,
Thanks for your response.
I read the Tesseract User Manual (https://tesseract-ocr.github.io/tessdoc/),
but not read the code
I tried both tessdata_best and tessdata, tried different parameters of
--psm, still can not get more detections.
To provide some context, when I applied Tessera
Did you read the documentation or did you just set your expectations?
Zdenko
ne 21. 1. 2024 o 12:00 L ht napísal(a):
> I am new to use tesseract. I found tesseract does not work as expected. I
> attach one example.
>
> tesseract 5.3.2
> tesseract 272525030292764523137280353496213864766.png -
I am new to use tesseract. I found tesseract does not work as expected. I
attach one example.
tesseract 5.3.2
tesseract 272525030292764523137280353496213864766.png - -l eng --psm 3 quiet
can only detect those words
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