Thanks Shree for the clarification.  I'll give it a try.  I was following
https://github.com/tesseract-ocr/tessdoc/blob/main/tess5/TrainingTesseract-5.md
and obviously misunderstood.

On Fri, Oct 13, 2023 at 7:54 AM Shree Devi Kumar <[email protected]>
wrote:

> See also
>
> https://github.com/tesseract-ocr/tesstrain/wiki
>
> It has details about training using the makefile.
>
> On Fri, Oct 13, 2023, 3:43 PM Keith Smith <[email protected]> wrote:
>
>> 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 <[email protected]>
>> wrote:
>>
>>> Have you looked at
>>>
>>> https://github.com/tesseract-ocr/tesstrain
>>>
>>>
>>>
>>> On Thu, Oct 12, 2023, 11:45 PM Keith Smith <[email protected]>
>>> 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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