ok. I will take a look.

On Wed, Jun 27, 2018 at 5:04 PM yajva <[email protected]> wrote:

> Checked with both light & dark pdfs. The results are very good. Thanks.
>
> A few concerns. E is consistently missed in both. J is missed consistently
> in darker image but recognized as T in dark image. ṝ is recognized as ṛ
> consistently. Can these be addressed ?
> I am using tesseract 4 alpha windows build from command line.
>
> Are the dev files in repos ?
>
>
> On Tuesday, June 26, 2018 at 11:06:06 PM UTC+5:30, shree wrote:
>>
>> I had used ghostview to convert PDF to tif or png.
>>
>> You can ocr PDF directly with gimagereader using the traineddata file I
>> sent.
>>
>> See links for new windows binaries in msg below.
>>
>>
>> At last, here are some fresh builds:
>>
>>
>> https://smani.fedorapeople.org/tmp/gImageReader_3.2.99_qt5_i686_tesseract4.git87635c1.exe
>>
>> https://smani.fedorapeople.org/tmp/gImageReader_3.2.99_qt5_x86_64_tesseract4.git87635c1.exe
>>
>> I'd be also interested in testing of the tessdata manager, which should
>> now also properly handle script tessdatas
>>
>> On Tue 26 Jun, 2018, 10:59 PM yajva, <[email protected]> wrote:
>>
>>> The doc is diff ver of the same text. Here's the doc used for the first.
>>> png. This is slightly darker, but the one sent earlier is cleaner. Let me
>>> know which is more amenable for OCRing. I use PDF Shaper to extract images
>>> and convert to png using xnview.
>>>
>>> On Tuesday, June 26, 2018 at 7:48:28 PM UTC+5:30, shree wrote:
>>>>
>>>> Traineddata file is attached for use with tesseract4.0.0-beta.
>>>>
>>>> How did you create the test png from the pdf? I am not getting as good
>>>> quality, tried various settings with irfanview.
>>>>
>>>>
>>>>
>>>> On Tue, Jun 26, 2018 at 4:58 PM yajva <[email protected]> wrote:
>>>>
>>>>> Sorry for the delay, my system was down.
>>>>>
>>>>> I am getting "Page not Found" for the link given. Can you pl re-check?
>>>>>
>>>>> Here's the doc I am trying to OCR
>>>>>
>>>>>
>>>>> On Saturday, June 23, 2018 at 9:46:08 PM UTC+5:30, shree wrote:
>>>>>>
>>>>>> Please test with traineddata file from
>>>>>> https://github.com/Shreeshrii/tessdata_sanskrit/tree/master/iast-plus1
>>>>>> <https://www.google.com/url?q=https%3A%2F%2Fgithub.com%2FShreeshrii%2Ftessdata_sanskrit%2Ftree%2Fmaster%2Fiast-plus1&sa=D&sntz=1&usg=AFQjCNHSTndmiJUoozyMRJ7OpHzTKIqYLw>
>>>>>>
>>>>>> Need to check that is it not overfitted.
>>>>>>
>>>>>> Please share a couple more images which I can use for testing.
>>>>>>
>>>>>>
>>>>>> On Thu, Jun 21, 2018 at 11:38 PM yajva <[email protected]> wrote:
>>>>>>
>>>>>>> one more correction.
>>>>>>>
>>>>>>>
>>>>>>> On Thursday, June 21, 2018 at 11:34:00 PM UTC+5:30, yajva wrote:
>>>>>>>>
>>>>>>>> done
>>>>>>>>
>>>>>>>> On Wednesday, June 20, 2018 at 9:05:01 PM UTC+5:30, shree wrote:
>>>>>>>>>
>>>>>>>>> I am attaching the OCRed text. Please correct it so that  I can
>>>>>>>>> use as groundtruth for further training and testing.
>>>>>>>>>
>>>>>>>>> On Wed, Jun 20, 2018 at 3:15 PM Shree Devi Kumar <
>>>>>>>>> [email protected]> wrote:
>>>>>>>>>
>>>>>>>>>> I had done a training for sanskrit for both devanagari and IAST
>>>>>>>>>> but it does not include cedilla for Sh
>>>>>>>>>>
>>>>>>>>>> I will add it and let you know.
>>>>>>>>>>
>>>>>>>>>> On Wed 20 Jun, 2018, 1:17 AM yajva, <[email protected]> wrote:
>>>>>>>>>>
>>>>>>>>>>> I have tried Google OCR for recognizing Sanskrit text in Roman
>>>>>>>>>>> with diacritics (IAST). It recognizes above macron but not dots 
>>>>>>>>>>> below also
>>>>>>>>>>> joining grave and accent. Is there any traineddata available for 
>>>>>>>>>>> tesseract
>>>>>>>>>>> that can do this with good accuracy ? Attached a sample page that I 
>>>>>>>>>>> am
>>>>>>>>>>> interested in.
>>>>>>>>>>>
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