It looks like I was fast in my conclusion and I forget "first rule" for
tesseract - remove all noise ;-)... Have a look at attached image - it
works for me:
     tesseract image4.png output digits

in output there is
263 5819

Zdenko

On Sun, Jan 13, 2013 at 8:02 PM, zdenko podobny <[email protected]> wrote:

> Hi,
>
> I think you will need to run training for this. I tried simple c++ code
> that show confidence values (see attachment) and for your digit 6 it
> produced:
>
>         symbol 5, conf: 78.5236 ----            5 conf: 78.523613
>                                 ----            s conf: 77.376984
>                                 ----            a conf: 71.858353
>                                 ----            B conf: 66.046341
>
> It produces recognized symbol ("5") with its confidence value + there are
> results from Choice iterator with confidence values. "6" is not there...
> If I interpret it correctly you can not expect that current English
> language data file will recognize "your" "6" as "6".
>
> Zdenko
>
>
> On Fri, Jan 11, 2013 at 12:09 AM, sunitha raghurajan <
> [email protected]> wrote:
>
>> Yes, this is NH license plate. The first image is with out pre processing
>> and the second one is after processing through opencv.
>>
>>
>>
>> On Tuesday, January 8, 2013 12:58:19 PM UTC-5, zdenop wrote:
>>>
>>> On 08.01.2013 17:13, sunitha raghurajan wrote:
>>> > I am using Tesseract to read license plate. The tesseract is giving
>>> wrong
>>> > output for digit six. My question is, Can I train the tesseract for
>>> single
>>> > digit 'six'. Any help truly appreciated.
>>> >
>>> Can you post a example of image (with digit 6) that you try to
>>> recognize?
>>>
>>
>

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