Yes, thats correct. There are far more prototypes in the chinese-traineddata files than in the english ones. You could speed up recognition by building traineddata sets by yourself. Just include the symbols you need and use only one font.
Am Dienstag, 28. Mai 2013 09:59:14 UTC+2 schrieb Choi: > > > I think Chinese traineddata has many unicharset members much more than > English have and it makes recognition of Chinese more slower. > Is it correct? > Is there anyone know some way to improve speed of Chinese recognition? > > thank you for reading. > > have a nice day! > -- -- 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.
