Hello, I am trying to recognized characters from the images taken from *mobile camera* at *72dpi* resolution with in 2-2.5 secs with complete processing. Can be found in the following link
Tickets for OCR<https://picasaweb.google.com/107072433218124342258/TicketsForOCR?authuser=0&feat=directlink> Ticket contains - little bit bad light - Non-text area - less resolution I tried to feed the image direct to tesseract API and it is giving me 70% good results in 1sec average. But I want to increase the accuracy in noticing the time factor So far I have tried 1. Detect edges of the image 2. Blob Analysis for blobs 3. Binarized the ticket using adaptive thresholding Then I tried to feed those binarized images to tesseract, the accuracy reduced to less than 50-60%, though binarized image look perfect. I also tried to look in to few research papers - http://www.vincent-net.com/luc/papers/10wiley_morpho_DIAapps.pdf - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.193.6347&rep=rep1&type=pdf - http://iit.demokritos.gr/~bgat/PatRec2006.pdf - http://psych.stanford.edu/~jlm/pdfs/Sternberg67.pdf but no luck. Kindly help me in this and sorry if my question is so basic. Also I am trying not to use command line solution but I would prefer *Leptonica *and *OpenCV*. -- -- 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.
