[email protected] On Thursday, May 4, 2017 at 2:47:12 PM UTC+3, Ahmad Moawad wrote: > > Ibr give me your email! > > On Thursday, May 4, 2017 at 1:06:22 PM UTC+2, Ibr wrote: >> >> while I was creating lstmf files to I can use them in recognition text >> images I fount that some of the characters are recognized in a wrong way, >> some of them are not integrated in the tesseract and some them are due to >> some writing in certain Arabic itself, >> >> in this case the tesseract acts correct but the font in Arabic is >> different scripting, but in the other case, the tesseract makes mistake in >> detecting the characters >> both cases are described in this issue that I made few days ago >> https://github.com/tesseract-ocr/tesseract/issues/840 >> >> >> On Thursday, May 4, 2017 at 12:49:01 PM UTC+3, Ahmad Moawad wrote: >> >>> My Scenario is related to make training from images not from text base, >>> I want to finetune characters such as: >>> لمجرد not ملجرد >>> and soon on >>> >>> On Thursday, May 4, 2017 at 11:28:13 AM UTC+2, Ibr wrote: >>>> >>>> if you are referring to tesseract 4.00alpha with liptonica 1.74.1, and >>>> if you compiled them in the correct way and got the binaries that you need >>>> for training lmstf files, then I recommend to follow the suggestions that >>>> is made by tesseract devs which is: once you create an .lstmf file for a >>>> certain font (that can be used for Arabic writing) then get the official >>>> ara.traineddata file from GitHub paste it in tessdata folder, and the >>>> lstmf >>>> file in tesseract folder and run the command tesseract text_image >>>> result_text -l ara --oem 1 >>>> what Arabic characters exactly are you trying to enhance the accuracy >>>> for ? >>>> >>>> On Saturday, April 8, 2017 at 11:52:25 AM UTC+3, Ahmad Moawad wrote: >>>> >>>>> Hello All, >>>>> >>>>> >>>>> I want to make training for Arabic language in Tesseract 4.0, and The >>>>> result of this version is great but still need some tunning, so I got >>>>> jTessBoxEditor 2.0 beta. >>>>> I tried to modify the incorrect characters and build ara.traineddata. >>>>> After copying the ara.traineddata to >>>>> /usr/share/tesseract-ocr/4.00/tessdata, I got random characters when I >>>>> run >>>>> the tesseract on the image. >>>>> So any suggestion of how making training for Version 4.0, I already >>>>> know that that last version 3.0x cube doesn't included in 4.0 LSTM or >>>>> waiting until Ray makes another updated ara.traineddata. >>>>> >>>>> ,Thanks. >>>>> >>>>
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