The starter traineddata that you have used does not have any dawg files,
based on word list, numbers and punctuation, hence the report that
dictionaries are not found.



On Fri, 26 Oct 2018, 14:38 Abu Anas, <[email protected]> wrote:

> I am also having similar problem. I have trained KB-JT-NEW from ben
> (continue from) and found the result:
>
> At iteration 127102/500000/500000, Mean rms=0.437%, delta=1.593%, char
> train=11.184%, word train=11.098%, skip ratio=0%,  New worst char error =
> 11.184 wrote checkpoint.
>
> Finished! Error rate = 7.737
> lstmtraining \
> --stop_training \
> --convert_to_int \
> --continue_from data/checkpoints/KB-JT-NEW_checkpoint \
> --traineddata data/KB-JT-NEW/KB-JT-NEW.traineddata \
> --model_output data/KB-JT-NEW.traineddata
> Loaded file data/checkpoints/KB-JT-NEW_checkpoint, unpacking...
>
> But putting the .traineddata on /usr/local/share/tessdata/ and executing
> recognition gives bizarre result and showing:
> Failed to load any lstm-specific dictionaries for lang KB-JT-NEW!!
>
>
>
>
> On Tuesday, March 27, 2018 at 1:45:55 PM UTC+6, [email protected] wrote:
>>
>> Hello,
>>
>> I am working on a project where I extract and the license plates and try
>> to get the plate number automatically.
>>
>> After applying some computer vision and image processing, I have come up
>> with the following result.
>>
>> <https://lh3.googleusercontent.com/-g6CxXgDj3ck/Wrl-DoT61lI/AAAAAAAAACs/hcE9t8zmQJk_almmkwFZJYXcSuB717OywCLcBGAs/s1600/topcrop1.jpg>
>>
>>
>> As it can be very obvious, the OCR generated with tesseract is: 6JZX97L
>>
>> Where as, actually, it is 6JZX974.
>>
>> I a, very new to the tesseract and it seemed like a very easy to use
>> library for my task, however, I do not have any idea on how to tackle a
>> scenario like this. If there is anyone who has worked on solving such a
>> problem, please share thoughts.
>>
>> Some other error prone numbers/letters: 0-O, 1-I, 2-Z, 5-S, 8-B...
>>
>> Thanks!
>>
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