I might be wrong but i think OCR-D does it without a font. 2019. február 7., csütörtök 5:25:21 UTC+1 időpontban Timothy Snyder a következőt írta: > > I'm pretty sure you have to have a don't for lstm training. When I trained > tesseract 4 for hand writing, I used a font that was based on handwriting > to fulfill tesseract's requirement for at least one font. > > On Wed, Feb 6, 2019, 11:10 PM <[email protected] <javascript:> wrote: > >> Thanks for your response, Since these are handwritten digits I don't have >> font data and what I'm having is cropped image blocks and I prepared some >> .gt.txt files. Is it possible to do lstm training without font data? >> >> On Tuesday, February 5, 2019 at 1:17:27 AM UTC+5:30, Lorenzo Blz wrote: >>> >>> >>> To use ocrd you need to prepare image files and txt files with the same >>> name but different extension. >>> For example: >>> >>> sample1.png >>> sample1.gt.txt >>> >>> The gt.txt is a simple text file containing the correct text, 145, for >>> example. >>> >>> The images must be cropped with no border or just a couple of pixels. >>> Text height should be about 30/40px. Try different options to see what >>> works best. >>> >>> To recognize numbers ONLY you also need to replaced the line: >>> >>> merge_unicharsets $(TESSDATA)/$(CONTINUE_FROM).lstm-unicharset >>> $(TRAIN)/my.unicharset "$@" >>> >>> with: >>> >>> cp "$(TRAIN)/my.unicharset" "data/unicharset" >>> >>> in the makefile (see >>> https://groups.google.com/forum/#!searchin/tesseract-ocr/l.bolzani%7Csort:date/tesseract-ocr/be4-rjvY2tQ/32evtMHlAQAJ >>> >>> ) >>> >>> Then follow the instructions on the ocrd site. >>> >>> You can try 100, 250, 500, 1000 and 2000 iterations and see what works >>> best (it depends on how much data you have). >>> >>> >>> If you need to recognize nothing but handwritten numbers, you can also >>> look for github projects (not related to tesseract) about "MNIST" >>> handwritten numbers recognition with pre-trained models. >>> >>> >>> Bye >>> >>> Lorenzo >>> >>> >>> Il giorno lun 4 feb 2019 alle ore 08:34 <[email protected]> ha scritto: >>> >>>> I am a beginner for OCR training. Can anyone explain how to use Ocr-d >>>> train briefly? >>>> >>>> I have Tesseract and Leptonica library installed in Cygwin >>>> >>>> tesseract 4.0.0 >>>> leptonica-1.77.0 >>>> libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : >>>> libtiff 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0 >>>> Found AVX2 >>>> Found AVX >>>> Found SSE >>>> >>>> I want to train handwritten digits, because it is not detecting >>>> correctly by default traineddata. I have searched group and found no >>>> detailed instructions. I used Opencv and python tesseract combination to >>>> achieve OCR of printed text and came to linux for handwritten digits >>>> training purpose. Kindly provide step by step instructions, it may help >>>> others also. I have attached the sample images which requires training. >>>> Thanks in advance >>>> >>>> -- >>>> 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/48ce49cc-6ade-4ebd-a1a6-5e382b033a95%40googlegroups.com >>>> >>>> <https://groups.google.com/d/msgid/tesseract-ocr/48ce49cc-6ade-4ebd-a1a6-5e382b033a95%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] <javascript:>. >> To post to this group, send email to [email protected] >> <javascript:>. >> 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/4b4745ff-7bba-4982-8ced-6df1d03a4590%40googlegroups.com >> >> <https://groups.google.com/d/msgid/tesseract-ocr/4b4745ff-7bba-4982-8ced-6df1d03a4590%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> >
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