Inscriptions will be like training for handwriting.

I have not tried any LSTM training with scanned images.

Please see https://github.com/tesseract-ocr/tesseract/wiki/VGSLSpecs

You can try experimenting with different network specs based on the type of
input you have.




On Wed, Mar 13, 2019 at 7:24 AM Naga raja <[email protected]> wrote:

> Thanks for the response. Following are the response to your questions.
> Basically we had doubt on sizes while training a new script sample in LSTM.
>
> On Tuesday, March 12, 2019 at 2:00:49 PM UTC+9, shree wrote:
>>
>> 1. Which ancient scripts are you trying to train?
>>
>> Tamil scripts which present in inscriptions
>
> 2. Are you trying to train base tesseract (3.0x) or LSTM tesseract?
>>
>> .LSTM tesseract
>
>
>> 3. Are you using synthetic traineddata using text2image or scanned images?
>>
>> Scanned Images.
>
>
>
>> On Tue, Mar 12, 2019 at 10:16 AM Naga raja <[email protected]> wrote:
>>
>>> Hi All,
>>>
>>> As we are working in some ancient scripts, even after training lots of
>>> data we found that the accuracy is very very less.
>>>
>>> We would like to know what is the recommended box size of each character
>>> and what would be the best resolution to train in tesseract.
>>>
>>> Thanks in Advance.
>>>
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