I want to use tesseract to convert images of a single Chinese/Japanese character which will be handwritten by a client-side user on an html5 canvas.
After several tests, I find Tesseract's recognition of handwritten chinese characters to be very good, but sometimes the result is slightly off. Sometimes I get the correct 木 character as output, but sometimes I get the slightly different 本 character. How can I make Tesseract output something like a list of top 10 best matches, one of which will likely be the desired result, instead of just outputting one incorrect result? I want it to do something like: Command: tesseract tree.gif out -psm 10 -l jpn ----> Output (best matches): 本, 木, 休, 十, 八, 六,.......etc An example image I'm using is below. <https://lh3.googleusercontent.com/-wEN7FNMLGbc/VysTLEjen-I/AAAAAAAAAAM/iR2d7jORK4MjZuCgQGhqZIUc7_0dEyC5ACLcB/s1600/tree.gif> -- 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]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/69886fac-5c46-4eeb-aeb8-cc1d2d936924%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
