I suggest you fine-tune Latin.traineddata using text of the kind you expect. It will have a smaller unicharset and when you convert to fast integer model, it should be smaller in size.
On Wed, Apr 8, 2020, 20:39 O CR <[email protected]> wrote: > Hi all, > > I try to read names on images with tesseract LSTM. Names like: > > Śerena Kovitch > > ŁAGUNA EVREIST > > Äna Optici > > Orğu Moninck > > > (I don't have to recognize words) > > > Latin.traineddata (fast integer) is doing well with the diacritics, but > there are a lot of characters I don't need like numbers, %, ﹕ ,﹖ ,﹗,﹙ ,﹚ > ,﹛ ,﹜ ,﹝ ,﹞ ,﹟ ,﹠ ,﹡ ,﹢ ,﹣ ,﹤,﹥,﹦ ,﹨ ,﹩ ﹪ ,﹫,and much more. And so > Latin.traineddata is too slow. > > So I thought I take eng.traineddata (best float for LSTM) and I train it > for the diacritics. But there are almost 400 diacritics. So I don't know if > fine-tuning for such amount of characters is a good idea? > > However I tried it but the quality is very poor. > > I trained with eng.training_text (a English text of 72 lines) and I added > all the diacritics several times. The char error rate during lstmeval is > around 0.1. I did a test with 80 documents, and I read 30 names correct. > (on each document there is one name). (time is similar to Latin.traineddata) > > > What can I do to get a model that is as good as Latin.traineddata on > diacritics but is much faster in ocr reading? > > > Thank you. > > -- > 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]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/b9ddf333-1229-45d3-9a02-809973294a47%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/b9ddf333-1229-45d3-9a02-809973294a47%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- 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]. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduWYU7HAxPCS2rf%3D9Wizv4RA-t9XRnBrbJ%2BDVpfYnTVp1g%40mail.gmail.com.
