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?


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 
For more options, visit https://groups.google.com/d/optout.

Reply via email to