I would go by what is suggested by the training 
wiki<https://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3>
:

*Don't make the mistake of grouping all the non-letters together. Make the 
text more realistic.*

I think you can improve the result a little bit by merging your images into 
a multi-page TIFF and concatenating your box files (make sure the page 
numbers are correct). However, that still does not meet the suggestion 
stated above.

On Friday, February 28, 2014 10:20:11 PM UTC-6, Frederico Ferro Schuh wrote:
>
> Do you think training one character per file is affecting my results?
>
> I was doing it because I have thousands of samples, and makebox always 
> makes too many wrong guesses. If I have all the digits on the same image, 
> fixing the resulting 10k chars box file manually would take forever. On the 
> other hand, fixing a single digit box file only takes a simple regexp 
> replace operation on the resulting box file (one replace for digit 1, 
> another replace for digit 2, and so on). 
>
> Also, the goal of my application is for online OCR, to recognize single 
> lines of handwritten digits as the user draws them. Would this affect the 
> format of my sample image(s) as well?
>
> Thanks,
> Fred
>
>
> On Friday, February 28, 2014 10:58:05 PM UTC+8, Quan Nguyen wrote:
>>
>> I'm not sure having only samples of one character in a file is a good 
>> idea. I normally train with all the characters in the same image(s).
>>
>> Check 
>> http://code.google.com/p/tesseract-ocr/downloads/detail?name=boxtiff-2.01.eng.tar.gzfor
>>  an example.
>>
>> On Tuesday, February 25, 2014 10:51:39 AM UTC-6, Frederico Ferro Schuh 
>> wrote:
>>>
>>> Hello all,
>>>
>>> I'm training Tesseract to recognize handwritten digits, and I have 
>>> provided it about 6000 samples of each digit, in 10 different box files, 
>>> one for each digit. Each box file is a 2152x2152 TIF file. However, the 
>>> resulting traineddata file I get after completing the training procedure is 
>>> only 137 kb.
>>> I went through the process again, providing smaller sample files (1000 
>>> samples of each digit), and ended up with the same traineddata size of 137 
>>> kb.
>>> Is this size reasonable or am I doing something wrong?
>>> I assume something is wrong because my results are pretty bad so far.
>>>
>>> I've attached the sample image I am using for the digit 0.
>>>
>>> Thanks in advance,
>>> Fred
>>>
>>

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