If I take the previously trained dataset (dataset A), produced from the text A, and use it to recognise a new text (text B) *and* merge the corrected result (dataset B) with the dataset A, getting "dataset A + dataset B" -* Is it possible? Will you please explain step by step procedure you followed to merge Dataset-A and Daset-B which become new Dataset-C. I wanted to test the same on my computer. Earlier I had tried to merge using copy and paste method but did not work for me! *
On Thu, Jun 18, 2009 at 4:28 PM, Yury Tarasievich < [email protected]> wrote: > > Thanks, but not exactly what I was asking about. > > If I take the previously trained dataset > (dataset A), produced from the text A, and use > it to recognise a new text (text B) *and* merge > the corrected result (dataset B) with the > dataset A, getting "dataset A + dataset B" -- > would it benefit an accuracy of the subsequent > recognising sessions? Even the accuracy of the > recognition of the text B with the "dataset A + > dataset B"? > > Right now I'm getting about 100% accuracy on the > text A with the dataset A, but somehow can't > visibly improve the accuracy for the text B, > even with the "dataset A + dataset B". > > Ray Smith wrote: > > Running the same data through the training system multiple times does > > not change accuracy in tesseract. It does not use a back-propagation > > training process at this time. > ... > > > > --~--~---------~--~----~------------~-------~--~----~ 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 -~----------~----~----~----~------~----~------~--~---
