The Olena project [1] has some great tools to identify text and images on historical pages. Look for the "content_in_hdoc" program for example. If the identification looks close enough, you could extract and pass to tesseract those regions that have been classed as text.
art --- 1. http://www.lrde.epita.fr/cgi-bin/twiki/view/Olena/ -- -- 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.
