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 <keithsmith...@gmail.com> 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 <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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