Interesting. I was wondering about Cube since its traces began to
appear in the source code but had no enough time to investigate it
thorougly
Zdenko, would you please kindly share your other findings on Cube?
Regards,
Dmitry
On Tue, Feb 22, 2011 at 11:13 AM, zdenko podobny zde...@gmail.com
I might not understood you fully, but this is an obvious excerpt from
baseapi.h:
Each SetRectangle clears the recogntion results so multiple
rectangles
can be recognized with the same image
Indeed, SetRectangle() calls ClearResults() which deletes the pageres
and
clears the block list ready for
Dmitry,
unfortunately I have not enough of time for tests :-(. I still hope Ray will
release more info before final 3.01. At the moment I focus on box editor.
BR,
Zdenko
On Tue, Feb 22, 2011 at 9:27 AM, Dmitry Silaev daemons2...@gmail.comwrote:
Interesting. I was wondering about Cube since
I do not have my own page built just for speedy-ocr at the moment. The Ubuntu
10.0.4 Lucid package is hosted on Launchpad in our Vinux Lucid PPA.
To add the Vinux Lucid repository to your system, type:
sudo add-apt-repository ppa:vinux/vinux-lucid
Then install speedy-ocr with the
On Feb 20, 9:02 pm, Jon Andersen jande...@gmail.com wrote:
My project athttp://RecordAGrave.comis about recording headstones from
graves and posting the text and images on the Net so that people can
research their family history. I would appreciate some advice on how to
pre-process these
I've successfully created a box file with tesseract br
now after running the unicharset_extractor br
having it creating the unicharset file that looks like:
...
n 3 NULL -1
s 3 NULL 23
t 3 NULL 43
...
I've continued with this command
mftraining -U unicharset -O
Vicky,
I may be able to convert your local-minima code to OpenCV code; can you send
me the result files as well as the filter?
I wrote some Python code that uses OpenCV to crop the headstone images to
show just the stone. Its not perfect, but it works OK. The Hough algorithm
and the other
Dear Jon,
Beginning for analyzing; I try also to detect lines, corners; but results
are not good. I think due to images are low contrast.
Please try to analyze with some data line profiles:
ROI-left-profile:
https://picasaweb.google.com/congnguyenba/TesseractBasedOCR#5576706091073985
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