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! > -- -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/tesseract-ocr?hl=en --- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/groups/opt_out.
