Thanks,Sending it again. On Wed, Apr 6, 2011 at 11:24 PM, Dmitri Silaev <[email protected]>wrote:
> To let you know, > can't see images yet... > > > > On Thu, Apr 7, 2011 at 8:17 AM, Amrit <[email protected]> wrote: > > Hi Dmitri/Partik, > > Thanks for your reply.I am sending along the pre processed test image > which > > I had mentioned in my response. > > tesseract output - SOUTHBURY~ CT DLUBB > > > > Regards, > > Amrit. > > > > On Wed, Apr 6, 2011 at 12:05 AM, Dmitri Silaev <[email protected]> > > wrote: > >> > >> Agree not to use dictionary at all. IMO the best you can do is: > >> - use appropriate whitelists for each character position > >> - obtain a set of char choices for every char position > >> - restrict choice sets by using other semantic information you may have > >> > >> Warm regards, > >> Dmitri Silaev > >> > >> > >> > >> > >> > >> On Wed, Apr 6, 2011 at 6:00 AM, Amrit <[email protected]> > wrote: > >> > Hi All, > >> > I am trying to evaluate tesseract to decode US postal address > >> > from a set of images(english text with varying font).I want to extract > >> > the city,state zipcode combination from the image.In doing so, out of > >> > the box tesseract 3.01 performance is average and I would like to > >> > increase the accuracy of the system by providing a custom grammar/ > >> > wordlist (language model). > >> > Any idea as to how to accomplish this?(My custom grammar/ > >> > language model will only contain City,State and ZipCode numbers). > >> > > >> > I have tried to create custom dawg by following on the lines of > >> > 'training tesseract 3' wiki page, but this doesn't seem to work at > >> > all.Is there any way I can do this without training a subset of my > >> > test images? > >> > > >> > Regards, > >> > Amrit. > >> > > >> > -- > >> > 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.
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