Hi, I'm trying to train Tesseract to work with a large library of Hebrew language documents. They are all in good quality scanning, black and white, and most of them have the same font and character size.
The hebrew alphabet should be relatively very simple for OCR: 27 characters, no Upper/Lower cases, characters seperated from each other and standard punctuation like in English. Even though, after creating manually about 30 training BOX files and compiling them, I still get very poor results. (about 70% accuracy). It does not seem to improve when I add more training data. What can cause this? Do I need more training documents? Is there a minimal characters resolution? What can I do better? -- 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/0a018f54-5f61-4169-9447-42314b969340%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
