Yes I have.  I am asking about how to automate the generation of the ground
truth images and box files, because from what I understand, tesseract
requires on the order of 10K images and box files to train on.  However,
unless I am missing something, what I read at
https://github.com/tesseract-ocr/tesstrain assumes the ground truth
(images + box files) already exist.

On Fri, Oct 13, 2023 at 1:00 AM Shree Devi Kumar <shreesh...@gmail.com>
wrote:

> Have you looked at
>
> https://github.com/tesseract-ocr/tesstrain
>
>
>
> On Thu, Oct 12, 2023, 11:45 PM Keith Smith <keithsmith...@gmail.com>
> wrote:
>
>> Hello,
>>
>> I am trying to use tesseract to OCR the MICR line of checks (i.e. the
>> micr-e13b font).  The training data that I found at
>> https://github.com/BigPino67/Tesseract-MICR-OCR/blob/master/Tessdata/mcr.traineddata
>> does not produce accurate results on my data set.
>>
>> I have a set of over 20K check images along with the MICR text for those
>> images; however, I do not have box files for them.
>>
>> So I started generating box files and manually correcting them via
>> JTessBoxEditor, but I soon learned that it would take a LONG time to do
>> this for enough checks to properly train tesseract.  So I am just started
>> generating synthetic images using tesseract's text2image; however, the
>> images generated are perfect (i.e. no blur, skew, etc), so I am doubting
>> that this will result in training tesseract to handle my less-than-perfect
>> check images.
>>
>> Does anyone have suggestions for the best methodology to use?  Is there a
>> way to get text2image (or another tool) to generate less-than-perfect
>> images?  Or can someone suggest a less labor intensive way of using real
>> check images to train tesseract?
>>
>> Thanks in advance,
>> Keith
>>
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