Greetings! I recently had wonderful success with tesseract-ocr on grand jury transcripts but now have a harder problem.
Can tesseract be trained to recognize censoring blocks in text? For example: Assume this sentence has XXXXXXXXXXXXX a censoring block that obscures all the text it covers. (here represented by the X's, in the text, it is a solid black line) What I want to do, in addition to recognizing the surrounding text, is to train tesseract to substitute for the black mark, (redaction - N) where N is the length of the redaction. There aren't that many different sized redactions, well, probably from one character space or a little better up to an entire line so producing examples of all the blackouts would be tedious but not difficult. Is that pushing tesseract in a direction it is not meant to go? If so, any suggestions on software that might be better suited to the task? Thanks! Patrick -- 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 http://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/8eeb916e-95ca-48e5-a4b5-f078f32b0ad1%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
