Scenario: We have 7000+ electric meters being changed out, and while
changing them out we are taking a picture of the new meter beside the
old meter to capture the previous reading. We are looking for a way
to extract the meter number from all 7000 pictures programmatically.
I have gotten as far
Update: on a batch of 60 meters, I was able to get 46 meters
recognized.
First i ran a batch that runs tesseract on every .tif, and names the
output .txt.
Then, I simply wrote a batch script to compare a text file of known
meter numbers against every tesseract output file using findstr.
The result
Correction. The line that reads:
The results show up as .tif:.txt.
Should be:
The results show up as .tif:.
For example, the sample file submitted in the parent thread would have
a result like so:
CIMG0005.tif:76 207 799
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Hi Dean,
Scanning numbers like this works well under our ScanBizCards
application - perhaps we can help you out? If your operating context
is a mobile app, ScanBizCards has a "remote control" interface
designed to help any app with OCR needs get it done at near zero
efforts, whereby your app could
Hello,
The Tesseract API provides a SetRectangle() method, to limit the
character recognition to a certain area.
If all of your images look nearly the same (new electric meter on the
lower left side and the old on the right),
you could define a static region of interest which generously covers
the
This SetRectangle() method is intriguing. Could you give me an
example on how to implement it? 95% of the new meters are on the left
half of the picture.
Thanks!
On Jun 29, 1:53 pm, 8flm6 <8f...@gmx.de> wrote:
> Hello,
>
> The Tesseract API provides a SetRectangle() method, to limit the
> chara
Take a look at TessBaseAPI::TesseractRect(). This is basically a
convinience method which wraps up the calls for you.
In the first step set the image you want to work on. All you need is a
pointer to your image data ,the dimensions of your image (width,
height),
the size of one pixel in bytes (whic
dear 8flm6
Thanks for your helpful information.
The case I am interested in uses bright 7 segment display of a series of
numbers. The quality of the photographer is unpredictable. I would like to
throw away all the surrounding words and clutter on the screen and send just
these numbers to the OCR s
Hello John,
could you provide an example image on which you want to apply
Tesseract?
I personally have not much experience with images of 7-segment
displays,
but I know that you're not the first who brought up this question here
in the group.
I think Tesseract will have some trouble with 7-Segment
Using SetRectangle() as a fruitful approach but it needs a whole lot
of preparation.
The problem you've stated is not an easy one - it's about automatic
text extraction from loosely defined photographic images. It involves
detecting the ROI (region of interest) having some predefined features
from
I guess I don't know how to call the SetRectangle() method. I am in a
Windows environment, and have only been dabbling with Tesseract for
about 2 weeks now. As-is, I have gotten up to about 80% success rate
in extracting meter numbers. I have over 6000 meters to go, so
anything better than 80% w
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