Re: [tesseract-ocr] Training for Kurdish in Arabic script

2020-02-01 Thread manu pranay 
thank you shree.
I am done with my retraining top layer training with a good accuracy rate.
but i wanted to know, how can find accuracy in terms of percentage ?
and can you please help how can i train handwritten pdf.
thank you very much for your help.


On Sat, Feb 1, 2020 at 12:33 PM Shree Devi Kumar 
wrote:

> lstmtraining \
>   --debug_interval -1 \
>   --traineddata data/modi/modi.traineddata \
>   --append_index 5 --net_spec "[Lfx128 O1c1]" \
>   --continue_from data/mar/modi.lstm \
>   --model_output data/modi/checkpoints/modiLayer \
>   --train_listfile data/modi/list.train \
>   --eval_listfile data/modi/list.eval \
>   --max_iterations 99
>
> On Sat, Feb 1, 2020 at 11:33 AM manu pranay 
> wrote:
>
>> Thank you so much for your help shree.
>> the links you provided were very helpful for me.
>>
>> now i am trying to train lstm training with retraining the top layer.
>> can you please provide me with the commands for  retraining top layer .
>>
>> thank you very much.
>>
>>
>> On Tue, Jan 28, 2020 at 12:36 PM Shree Devi Kumar 
>> wrote:
>>
>>> Please see https://github.com/Shreeshrii/tesstrain-ckb It uses a
>>> modified training text based on what you sent and earlier text that  I had
>>> from Pewan and other corpora.
>>>
>>> Currently the training data includes
>>> * AWN 0-9
>>> * AEN - ARabic numbers
>>> * No Persian numbers since some shapes are similar to Arabic Numbers
>>>
>>> Fonts do not include those which convert 0-9 to either Arabic or Persian
>>> numbers.
>>>
>>> The replace layer training is still ongoing. The eval results look much
>>> better than the official ara or script/Arabic, however I do not have any
>>> real world images for testing.
>>>
>>> ArialArial BoldTahomaTahoma Bold
>>> tessdata_fast/ara Accuracy 62.74 63.49 61.56 61.71
>>> tessdata_fast/ara Basic Arabic 95.68 95.22 95.76 94.10
>>> tessdata_fast/ara Arabic Extended 0.31 1.13 0.41 1.32
>>> tessdata_fast/script/Arabic Accuracy 80.99 80.83 83.02 77.17
>>> tessdata_fast/script/Arabic Basic Arabic 96.68 96.34 96.05 93.87
>>> tessdata_fast/script/Arabic Arabic Extended 57.20 58.23 63.76 54.72
>>> ckbLayer_1.661_152089_296500
>>> ckbLayer_fast Accuracy 98.20 97.78 98.06 96.13
>>> ckbLayer_fast Basic Arabic 99.10 99.15 98.54 98.44
>>> ckbLayer_fast Arabic Extended 98.30 98.70 99.10 96.27
>>>
>>>
>>> On Mon, Jan 13, 2020 at 7:17 PM Ayub Rauf wrote:
>>>
>>>> Hi,
>>>> I attached full training text with forbidden_characters in it.
>>>> really both of number types will be used and I see two type numbers
>>>> written in books but Kurdish institute verified that Arabic numbers will be
>>>> used from now on. Persian numbers written by Iranian Kurds and Arabic
>>>> number used by Iraqi Kurds but as I said numbers in ckb should be
>>>> written by Arabic type, but we have to recognize two type in OCR.
>>>> just like two types of "ك" and "ک" that written in books but now we
>>>> only use "ک".
>>>> I think these similarities won't into problem after that we can correct
>>>> letters in a spell checker.
>>>> As I said before Arial and Tahoma fonts are the most used fonts books
>>>> written by.
>>>>
>>>>
>>>> --
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Re: [tesseract-ocr] Training for Kurdish in Arabic script

2020-01-31 Thread manu pranay 
Thank you so much for your help shree.
the links you provided were very helpful for me.

now i am trying to train lstm training with retraining the top layer.
can you please provide me with the commands for  retraining top layer .

thank you very much.


On Tue, Jan 28, 2020 at 12:36 PM Shree Devi Kumar 
wrote:

> Please see https://github.com/Shreeshrii/tesstrain-ckb It uses a modified
> training text based on what you sent and earlier text that  I had from
> Pewan and other corpora.
>
> Currently the training data includes
> * AWN 0-9
> * AEN - ARabic numbers
> * No Persian numbers since some shapes are similar to Arabic Numbers
>
> Fonts do not include those which convert 0-9 to either Arabic or Persian
> numbers.
>
> The replace layer training is still ongoing. The eval results look much
> better than the official ara or script/Arabic, however I do not have any
> real world images for testing.
>
> ArialArial BoldTahomaTahoma Bold
> tessdata_fast/ara Accuracy 62.74 63.49 61.56 61.71
> tessdata_fast/ara Basic Arabic 95.68 95.22 95.76 94.10
> tessdata_fast/ara Arabic Extended 0.31 1.13 0.41 1.32
> tessdata_fast/script/Arabic Accuracy 80.99 80.83 83.02 77.17
> tessdata_fast/script/Arabic Basic Arabic 96.68 96.34 96.05 93.87
> tessdata_fast/script/Arabic Arabic Extended 57.20 58.23 63.76 54.72
> ckbLayer_1.661_152089_296500
> ckbLayer_fast Accuracy 98.20 97.78 98.06 96.13
> ckbLayer_fast Basic Arabic 99.10 99.15 98.54 98.44
> ckbLayer_fast Arabic Extended 98.30 98.70 99.10 96.27
>
>
> On Mon, Jan 13, 2020 at 7:17 PM Ayub Rauf wrote:
>
>> Hi,
>> I attached full training text with forbidden_characters in it.
>> really both of number types will be used and I see two type numbers
>> written in books but Kurdish institute verified that Arabic numbers will be
>> used from now on. Persian numbers written by Iranian Kurds and Arabic
>> number used by Iraqi Kurds but as I said numbers in ckb should be
>> written by Arabic type, but we have to recognize two type in OCR.
>> just like two types of "ك" and "ک" that written in books but now we only
>> use "ک".
>> I think these similarities won't into problem after that we can correct
>> letters in a spell checker.
>> As I said before Arial and Tahoma fonts are the most used fonts books
>> written by.
>>
>>
>> --
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> 
> .
>

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[tesseract-ocr] how to train arabic language using tesseract 4.

2020-01-27 Thread manu pranay 
hello,

can anyone help me with the steps, 
how to train arabic language using tesseract 4,
as if i generated tif file as well as box file, what's next please help me.

thank you. 

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Re: [tesseract-ocr] Re: How to make training for Arabic in Tesseract 4.0

2020-01-27 Thread manu pranay 
shree,
can you please help me out how to perform arabic training on tesseract 4.

thank you


On Thursday, May 4, 2017 at 3:22:42 PM UTC+5:30, shree wrote:
>
> Ibr,
>
> You are incorrect in your description of LSTM training.
>
> What you are doing will use the ara.traineddata provided in the repo, 
> there will be no change in output.
>
> Once lstmf files are created, you have to run lstmtraining which will run 
> for days/weeks  to give you a good result.
>
> Please read about LSTM training on wiki.
>
> On May 4, 2017 2:58 PM, "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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>

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[tesseract-ocr] Re: speed of tesseract OCR

2017-03-15 Thread Manu 
Probably this is what you are looking for.

https://groups.google.com/forum/#!topic/tesseract-dev/LErriuT-sck

On Thursday, 9 March 2017 09:06:20 UTC+1, vngo...@mail.ru wrote:
>
> Hi all!
>
> It is very interesting for me if someone had any tests with different CPU, 
> memorry e.t.c
> Is it real to make tesseract recognize a difficult image(small font, 
> tables, dirty image) less then 1 second.
> If real then what I need to use for the best result?
>
> Thank you.
>
>
>
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