I have tried with the English traineddata and got similar results. However, 
I had not tried recognizing the entire 'prepared-image' with psm 6 and I 
see that gives pretty good results.
The thing is, I need to know the location of each character. That is which 
row and column it is placed on. If Tesseract fails recognizing a single 
letter when recognizing the entire image, I have no way of knowing which 
letter is missing and therefore I do not know the location of any of the 
letters.

Den fredag den 14. november 2014 18.24.15 UTC+1 skrev shree:
>
> Have you tried with the existing english traineddata?
>
> I get good recognition with your 'prepared-image'? 
>
> If that is the kind of image you need to OCR, you could do that with psm 6 
> and then split each letter separately?
>
> ShreeDevi
> ____________________________________________________________
> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>
> On Fri, Nov 14, 2014 at 7:12 PM, Simon Støvring <[email protected] 
> <javascript:>> wrote:
>
>> Hello,
>>
>> I am trying to recognize single characters written with the Gotham Bold 
>> font. I have trained Tesseract by following Michael Jay Lissners guide 
>> "Adding New Fonts to Tesseract 3 OCR Engine" 
>> <http://michaeljaylissner.com/posts/2012/02/11/adding-new-fonts-to-tesseract-3-ocr-engine/>.
>>  
>> I trained it using a newspaper article and removed all characters that I am 
>> not interested in as well as making sure all characters are upper case as I 
>> am not going to match lower case characters.
>>
>> I run Tesseract with my custom language and with page segmentation set to 
>> 10, which treat the image as a single character.
>>
>> While most of the matches are fine, I am getting a lot of incorrect 
>> matches. For example, the below image of the letter "B" is matched as an 
>> "X". I cannot figure out why this is. 
>>
>>
>> <https://lh4.googleusercontent.com/-AOLPnD7nXJY/VGYC58I-roI/AAAAAAAAASQ/kTJq9eSNMy4/s1600/0-4.png>
>>
>> And the "B" below which looks the same as the above but it is in fact not 
>> the same image, is not matched to anything. Tesseract does not know what is 
>> on the image.
>>
>>
>> <https://lh4.googleusercontent.com/-b0kMaAzcN-Y/VGYFI6NOzjI/AAAAAAAAASk/c9EfpR8CjWI/s1600/1-7.png.png>
>>
>>
>> The below "C" is not matched to anything. Tesseract cannot figure out 
>> what is on the image.
>>
>>
>> <https://lh5.googleusercontent.com/-ZKl8jE2Orto/VGYEs2xzGlI/AAAAAAAAASc/2xTXomhIkWI/s1600/0-8.png>
>> The same goes for the "U" below.
>>
>>
>> <https://lh5.googleusercontent.com/-fciIyBe9bDw/VGYFRh3YBNI/AAAAAAAAASs/29WZQUHqPmE/s1600/1-8.png>
>> And it thinks the "E" below is a "K".
>>
>>
>> <https://lh4.googleusercontent.com/-ZZFkr77drgM/VGYFcDydDXI/AAAAAAAAAS0/RQ1UO8U3rOY/s1600/1-9.png>
>>
>> The above errors are just examples. There are others but I think those 
>> four examples illustrate the quirks I'm currently dealing with.
>>
>> I manually slice the image below into images of single characters like 
>> the ones above. Maybe a completely different approach is better?
>>
>>
>> <https://lh4.googleusercontent.com/-TfwZnXosqB0/VGYFjLppJ9I/AAAAAAAAAS8/Oun76IHLwks/s1600/prepared_image.png>
>> Does anyone know how I can improve the recognition of single characters? 
>> I'ld like the above examples to match correctly but generally it's just not 
>> good enough and I'ld like to know if there's any way I can improve it. 
>> Should I train differently? Should I pass other configurations or should I 
>> process the images before trying to recognize the characters?
>>
>> Best regards,
>> Simon B. Støvring
>>
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