Thanks for the reply Aleksander. These improved the accuracy of my scans, 
however it does not provide a sloution to detecting paragraphs and blocks 
of text. Any idea how to do this? 

On Monday, February 3, 2014 2:16:15 AM UTC-7, Aleksander Grzyb wrote:
>
> To improve results you should try to:
>
>    1. Convert image to binary image.
>    2. Crop the image to get rid off the surroundings.
>    3. Detect skew of image and do some perspective transform.
>
> I recommend to use OpenCV to do this operations. There is a pod for OpenCV:
>
> https://github.com/Fl0p/OpenCV-iOS
>
> Here are some links that should help you do the image processing part:
>
>
> http://stackoverflow.com/questions/8667818/opencv-c-obj-c-detecting-a-sheet-of-paper-square-detection
>
> http://stackoverflow.com/questions/6555629/algorithm-to-detect-corners-of-paper-sheet-in-photo
>
> http://stackoverflow.com/questions/8637867/skew-detection-and-reduction-in-opencv
>
> http://stackoverflow.com/questions/7838487/executing-cvwarpperspective-for-a-fake-deskewing-on-a-set-of-cvpoint
>
> W dniu piątek, 31 stycznia 2014 20:44:55 UTC+1 użytkownik Nick Porter 
> napisał:
>>
>> I am trying to scan a business card using tesseract OCR, all I am doing 
>> is sending the image in with no per-prossesing, heres the code I am using.
>>
>>  Tesseract* tesseract = [[Tesseract alloc] initWithLanguage:@"eng+ita"]; 
>> tesseract.delegate = self; [tesseract 
>> setVariableValue:@"0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ@.-()"
>>  forKey:@"tessedit_char_whitelist"]; [tesseract setImage:[UIImage 
>> imageNamed:@"card.jpg"]]; //image to check [tesseract recognize]; 
>> NSLog(@"Here is the text %@", [tesseract recognizedText]);
>>
>> Picture of card <http://imgur.com/nQPG6iq>
>>
>> This is the output <http://imgur.com/poikzBn>
>>
>> As you can see the accuracy is not 100%, which is not what I am concerned 
>> about I figure I can fix that with some simple per-processing. However if 
>> you notice it mixes the two text blocks at the bottom, which splits up the 
>> address, and possibly other information on other cards.
>>
>> How can I possibly use Leptonica(or something else) to group the text 
>> somehow? Possibly send regions of text on the image individually to 
>> tesseract to scan? I've been stuck on this problem for a while any possible 
>> solutions are welcome!
>>
>

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