Markus Hi, You need to integrate it with NLP (Natural Language Processing) libs.
You can find many good and recent papers on the internet to achieve what you wanted to. I hope that answers your question. With Best Regards, Vicky Vicky Budhiraja Technical Architect, Sitarasoft (T) +91-9971-67-0099 www.Sitarasoft.com Sitarasoft | 304, Krishna Tower-2, Plot-1, Dwarka - XII | New Delhi 110075 Please consider the environment before printing this email. This message may contain confidential, privileged or otherwise legally protected information. If you are not the intended recipient of this email, please notify us at [email protected]. Thank you for your time. -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of Markus F. Sent: Thursday, March 15, 2012 19.13 To: tesseract-ocr Subject: Linguistic Analysis 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 -- 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
