also see https://github.com/impactcentre/ocrevalUAtion
https://github.com/Shreeshrii/ocr-evaluation-tools https://github.com/tesseract-ocr/test/tree/master/unlvtests On Fri, Jan 25, 2019 at 5:17 PM Lorenzo Bolzani <[email protected]> wrote: > This is an option if you want to consider missing/extra chars too: > > https://en.wikipedia.org/wiki/Levenshtein_distance > > You should be able to find implementations for most languages. > > > Bye > > Lorenzo > > > > Il giorno ven 25 gen 2019 alle ore 11:56 Matthew Hodgskiss < > [email protected]> ha scritto: > >> Hi, >> >> I am interested in evaluating the performance of Tesseract against some >> domain specific test. I would like to perform a baseline using vanilla >> settings and then with some domain-specific user-words and user-patterns as >> documented here >> <https://github.com/tesseract-ocr/tesseract/wiki/Command-Line-Usage>. >> Is it possible to leverage the OCR evaluation process, which must be >> performed during model training to calculate word and character error rates >> on new (domain-specific) documents? >> >> If this is not possible, then I could synthesise my own scan images from >> documents using ImageMagick >> <https://gist.github.com/ThisIsBenny/1e669954d0fd0a945e38d0670c670c3c> >> but it would be good if anyone could recommend a standard >> algorithm/library for calculating character and word error rates. >> >> Thanks in advance >> >> Matt >> >> >> >> -- >> 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/5cb0a65c-dae5-431b-9d0c-2c099d2cf90b%40googlegroups.com >> <https://groups.google.com/d/msgid/tesseract-ocr/5cb0a65c-dae5-431b-9d0c-2c099d2cf90b%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> > -- > 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/CAMgOLLzNnBGd0SPwtQGS%3DHpxxCEyBtLWCZPwCUhaOWJO7UJvHg%40mail.gmail.com > <https://groups.google.com/d/msgid/tesseract-ocr/CAMgOLLzNnBGd0SPwtQGS%3DHpxxCEyBtLWCZPwCUhaOWJO7UJvHg%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com -- 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/CAG2NduXZXb3fBwgmkVRJnt7YqxESR1wpU3zWRNV1KtRR%3D23qtw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
