Thanks a lot. I think I'll try the word level training. Raj
On Jul 18, 11:34 am, pkt <[email protected]> wrote: > On 15 Éïýë, 13:58, Raj Julha <[email protected]> wrote: > > > Hi > > > I notice that due to the complexity of extracting characters from > > handwritten historical texts some research has been done in > > recognising words by using word images. I'm planning to train the > > engine for a specific handwriting so I'd like to use a set of word > > images and their corresponding transcription. Can I do that with > > OCROPUS? If yes any hints on how I could do that? > > I think you are refering to "segmentation-free" recognition. > AFAIK Ocropus doesn't have a "segmentation-free" recogniser, > so if you insist on taking this route you would have to implement > the recognition step (line images -> character hypotheses FST) > yourself I think. > > On the other hand, it seems Ocropus' recognizer approach > (oversegmentation + MLP neural net) was initially developed > for handwriting recognition so if the handwriting you care about > is not cursive / very different from type, you can give it a try. > > Wrt training, from what it seems from the latest posted screencasts, > Ocropus can be trained fine with word-level, line-level or even > page-level ground truth and it will try to do the alignment itself. -- You received this message because you are subscribed to the Google Groups "ocropus" 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/ocropus?hl=en.
