I have a fairly large dataset that contains scans of various quality. However, all the documents are of the same type and the vocabulary is therefore very uniform. I would like to do basically the following:
1. Run tesseract on all the data and dump all words to a file that have a confidence over some threshold, say, 95. 2. Rerun tesseract on the data with the computed wordlist provided as a prior for likely words. Is this currently supported by the tool? Best, Edvard -- 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 email@example.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/0d171c6e-e5a0-4d58-ab81-a0e5709b7b81%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.