Which language do I have to use? Because Latin isn't supported. ./tesstrain.sh --fonts_dir "/usr/share/fonts" *--lang Latin* --linedata_only --noextract_font_properties --langdata_dir ./langdata --tessdata_dir ./tessdata --output_dir ./output
Op woensdag 8 april 2020 18:27:15 UTC+2 schreef shree: > > 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] <javascript:>> > 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] <javascript:>. >> 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/d692a36f-81c4-4226-94d6-15ec8238673b%40googlegroups.com.
