check ur email On Thursday, May 4, 2017 at 1:51:04 PM UTC+2, Ibr wrote: > > [email protected] <javascript:> > > 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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