Hi,
I've a similar requirement and I'm new to Tesseract. Could you please share
steps required to implement this?
Thanks.
On Thursday, October 23, 2014 at 12:07:03 PM UTC+5:30, up...@6paq.com wrote:
>
> Hello.
>
> I have images that contain characters that are made from individual dots,
> like
Using the latest code from master branch, --oem 1 and --psm 6 I get the
following results using the different traineddata files:
tessdata
--
| =~ 7.2.
| BK Medical
1.01<1.50
TIS: 1.2<2.0 _
Res /Hz 1/7 Hz ~ aw
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PRF 0.5 kHz|
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{ 7.2.
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Zdenko--
I was able to pull a scrubbed example without confidential information
that demonstrates the issue. Here is the difference:
Tesseract 4.1Tesseract 4.0
1B-KMedieal | | BK Medical
101150 | 1.01<1.50
TIS:1220 L | TIS: 1.2<2.0 L
Res/Hz1/7Hz es S
I'm wondering, what are the parameters to tune to get better result for
image with text of several columns, example as attached.
Basically I would like to have separate columns separate, instead of
getting different columns sticking together. Like the middle part in the
.txt file.
I used '-c
Try to straighten the text:
https://www.pyimagesearch.com/2017/02/20/text-skew-correction-opencv-python/
(I suspect you are already doing this)
Small dots will give you problems with this method, so first make a copy of
the image, run a light close/erode (google: morphology transformation) to
re
I have, but I have stumbled upon a problem that I can't solve.
I am trying to build training data for Tesseract 4.00
When I execute this command:
combine_lang_model --input_unicharset data/unicharset --script_dir data/
tessdata --output_dir data/output --pass_through_recoder --lang MyModel
I g
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