Recently,I'm using tesseract training my chi_sim language. I want to train a chi_sim.traineddata better than the official one. I have generated a 82915-characters training data.And trained it with 7 common fonts。 After 4434207 iterations ，the train rate is lower than 0.016% ，But the recognition effect is much worse than the official training library.
so，I'm confused... How to improve the quality of Training？ Do I need more training data for more training fonts?What is the right amount? I want to know the training data of the official training library and the font range of the official training library. -- 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 post to this group, send email to [email protected]. 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/a7acc320-67f6-42b3-b2c8-99d3db6de7e6%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
