No, tesseract cannot be trained in an unsupervised manner, it needs ground
truth labels to train from scratch or fine-tune. Please provide a sample
image to test if possible.

On Mon, Oct 15, 2018 at 12:38 PM Rahul Tyagi <rahul.iss...@gmail.com> wrote:

> Hi,
>
> I am trying to run tesseract-ocr on invoices to detect user ID's, Invoice
> numbers, tax codes etc. I think tesseract has not been trained on this kind
> of data so i need to fine tune the network on my data. Now it will be a bit
> difficult for me to get labelled data to fine tune tesseract as stated in
> training-tesseract wiki page. So wanted to know if its possible to only
> tune the language model of tesseract-ocr in an unsupervised way just like
> the language models trained for English Language Understanding i.e. showing
> the language model just the pins and ids by passing the output generated at
> previous (t-1) timestep as input to current timestep (t).
>
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-- 
Regards,
Soumik Ranjan Dasgupta

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