Thanks Shree,

I have already tried using the letsgodigital trained data, but am 
re-reading the SO post to see if I missed anything. 

On Tuesday, February 7, 2017 at 9:27:29 PM UTC-6, shree wrote:
>
> Take  a look at 
>
>
> http://stackoverflow.com/questions/17672705/text-detection-on-seven-segment-display-via-tesseract-ocr
>
> https://github.com/arturaugusto/display_ocr
>
> ShreeDevi
> ____________________________________________________________
> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>
> On Wed, Feb 8, 2017 at 12:20 AM, <rob...@inkrh.com <javascript:>> wrote:
>
>> Hello,
>>
>> I am running into real difficulty getting Tesseract to work with a faux 
>> segmented display.
>>
>> At the moment I am processing a video frame by frame, removing the 
>> background and replacing the character's color to leave images like the 
>> attached.
>>
>> I have spent a long time training both using a set of the actual images 
>> produced by the above, as well as using tifs of LCD fonts that match, 
>> setting the expected format, whitelisting the characters expected and still 
>> am seeing no improvement in the recognition success - at best it is around 
>> 30% success, at worst 0%. 
>>
>> I have also tried using SSOCR   (
>> https://www.unix-ag.uni-kl.de/~auerswal/ssocr/) without any success (0 
>> digits recognized from the above), and exploring all the different settings 
>> of tesseract and SSOCR.
>>
>> Is there any advice for getting these characters recognized consistently? 
>> My target is to have the characters recognized with at least a 75% success 
>> rate.
>>
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