Well, first of all, since this is an OpenCV question, I'd suggest you use 
an OpenCV mailing list or forum to ask it.

You don't mention re-training the model.  If you try and recognize a 
completely different style of digit using a model trained on the images in 
the example, I wouldn't expect it to work at all.

Tom

On Monday, September 14, 2015 at 4:24:07 AM UTC-4, Srinivasa TN wrote:
>
> I used an image in the original link (attached for reference - 
> 2015014132000.png) and it is recognising correctly:
>
> 131601  -------
>
> I used the image posted by OP (attached for reference - 2015014132100.png) 
> and it is not recognizing the 3 in it:
>
> 4578  -------
>
> I used another image of digital display (attached for reference - 
> 2015014133400.png) and whole image is recognized as single digit 0:
>
> 0  -------
>
> Any suggestions on how to make it recognize digital displays?
>
> Regards,
> Seenu.
>
> On Thursday, 10 September 2015 22:19:08 UTC+5:30, Tom Morris wrote:
>>
>> On Thursday, September 10, 2015 at 7:18:05 AM UTC-4, Srinivasa TN wrote:
>>>
>>>    Can I know where can I get the images required for training emeocv?  
>>> (using *./emeocv -i ../../image/ -l -v DEBUG* but I am trying to find 
>>> out what images I should have in image directory)
>>>
>>  
>> Sorry, I'm not the author of the article.  I just found it and posted a 
>> pointer.
>>
>> Having said that, I would have thought you'd want to use representative 
>> images of the style of meters that you'll be targeting, rather than the 
>> examples that were used in the original experiments.
>>
>> Tom
>>
>> On Saturday, 4 July 2015 22:55:25 UTC+5:30, Tom Morris wrote:
>>>>
>>>> I'd suggest looking at OpenCV.  It looks more like a computer vision 
>>>> task than an OCR task.  Some of the specific issues like dials not fully 
>>>> aligned in the window are things the OCR systems aren't designed to deal 
>>>> with, but you could use domain knowledge to deal with in a system like 
>>>> OpenCV.
>>>>
>>>> Here's a description of implementing a meter reader in OpenCV:
>>>> http://www.thekompf.com/cplus/emeocv.html
>>>>
>>>> Tom
>>>>
>>>

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