Hi,
I am really new to Tesseract OCR 3.0 as a static DLL within a windows
envionment and have the majority of what I want working but...
Is there a way to increase the sensitivity of the OCR engine?
For instance, I am passing JPG images that purely have images of
registration plates (ANPR
Dimitry,
I had generated traineddata(Kannada) files sucessfully from the old
datafiles of 2.xx last year. There is discussion by spohorsky in the forum
how to do.
sriranga(78)
♫
On Thu, Mar 3, 2011 at 5:42 PM, Dmitry Silaev daemons2...@gmail.com wrote:
Manuel,
It's quite an interesting
Sriranga,
Thanks for letting me know. You are the first one then, and I invented
the bicycle ))
However an article might be still of use instead of verbose forum discussion...
May be you'd like to write it then?
Warm regards,
Dmitry Silaev
On Thu, Mar 3, 2011 at 3:55 PM, Sriranga(78yrsold)
The answer lies within your own question! Since you expect only
digits, simply accept these letters as the equivalent digit by
replacing them.
Patrick
On Mar 3, 5:09 am, Richard rhe...@dial.pipex.com wrote:
Hi,
I am really new to Tesseract OCR 3.0 as a static DLL within a windows
envionment
Yes, that is possible and I am scanning now to do that
but its not possible to always the know the format of the plate
and just changing random chars may/does give strange results.
On Mar 3, 1:13 pm, patrickq patrick.questemb...@gmail.com wrote:
The answer lies within your own question!
Sriranga,
Actually I don't understand why one needs to refer to the forum
discussion you've just mentioned above, as I managed to build this
traineddata file without writing a single line of code and even
without a compiler, say Visual C++...
The value I can add is in that any user inexperienced
Dmitry,
I fully agree with your points. Newbies (who are non-programmer) like me
cannot make traineddata file without any valuable guidance of people like
you. Being expert programmer/developer, you have succeeded to build
traineddata very easily. As such only newbies need/must to refer to the
Hi Dmitry,
I just replaced with your file por.traineddata
But I'm getting an error:
manuel$ tesseract input.tiff output -l por
actual_tessdata_num_entries_ = TESSDATA_NUM_ENTRIES:Error:Assert failed:in
file tessdatamanager.cpp, line 55
Segmentation fault
It's seem to be interesting to convert
Hi all,
I'm working on a project that involves detecting text in street level
images. I have already written a code that allows me to extract text
areas from my images.
I work with Tesseract 3.0, and, first of all, I tried running
Tesseract on full images (1080x1920), just to see the results I
Manuel,
Is the error message generated by version 2.xx? Did you try to run
version 3.xx with my por.traineddata file?
I don't get it - have you succeeded or not?
Please provide us with the image you are trying to recognize.
Warm regards,
Dmitry Silaev
On Thu, Mar 3, 2011 at 5:34 PM,
Hi, I added the code to my project from this site:
http://www.pixel-technology.com/freeware/tessnet2/
It work well untill i installed the tesserac 3.0 windows executable.
Now when I run my application it shuts down when it hits this line of
code:
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