There is a wordlist feature, which allows you to identify words if you know their pattern before. If you search the archives of this list you'll find examples of people doing clever things with post-processing for more complex linguistic patterns. --Sven
On Thu, Mar 15, 2012 at 8:42 AM, Markus F. <[email protected]>wrote: > Is there a way in Tesseract to use only the linguistic analysis to > identify the most likely word formed by a cluster of > characters. My problem is that I recognize only single characters with > single character mode and afterwards I groub the characters into > words. The result is sometimes not so good because of the absent word > context. Is there a function to give the resulting string or cluster > of characters manually to tesseract to do linguistic analysis? > > Thanks in advance! > Kind regards > Markus > > -- > 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 > -- ``All that is gold does not glitter, not all those who wander are lost; the old that is strong does not wither, deep roots are not reached by the frost. >From the ashes a fire shall be woken, a light from the shadows shall spring; renewed shall be blade that was broken, the crownless again shall be king.” -- 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
