Hello everyone, I need an advice. Would it make sense to train a separate model (datafile) exclusively for recognition of chemical formulas? With the default model for English the following formula
[image: test5.png] <about:invalid#zClosurez> is recognized as "CONH(CH*5*)3N(C*o*H*s*)*o*" by LSTM engine. So there are mistakes in subscripts. My intuition is that a model trained on chemical formulas only would be able to handle this better. What do you think? -- 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 tesseract-ocr+unsubscr...@googlegroups.com. To post to this group, send email to tesseract-ocr@googlegroups.com. Visit this group at https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/a5704736-173a-4e21-a532-26595d94589b%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
