Thanks a lot! Yes.. I am familiar with ML part, will implement it and try 
to get results.

On Thursday, 6 June 2019 19:38:17 UTC+5:30, Krishna Prasad wrote:
>
> Hi Sayali,
>      I'm dealing with a similar problem. Detecting table contents 
> accurately has never been easy with tesseract. I would suggest building 
> your own pipeline for Detecting tables and complex layouts. There are many 
> public datasets available. I'm trying to use Deeplab V3+ by Google
> Model : https://github.com/tensorflow/models/tree/master/research/deeplab
> Dataset : https://www.primaresearch.org/datasets/Layout_Analysis
> Deeplab is properly documented and really good at its job. If you are 
> familiar with ML, this would be a piece of cake for you. 
>
> Hope this helps. 😃
>
> Regards,
> Krishna Prasad A S
>
> On Thu, Jun 6, 2019 at 8:41 AM Sayali begampure <[email protected] 
> <javascript:>> wrote:
>
>> Hello ,I tried with both psm 6 and psm 3 , but still problem in detecting 
>> the table contents.Numbers are not visible and also sometimes only heading 
>> is visible.
>> Any other change I can do in tesseract or for image quality improvement?
>>
>> TIA
>>
>> On Friday, 31 May 2019 19:41:50 UTC+5:30, Amulya Kali wrote:
>>>
>>> Hi,  I'm not sure about the psm mode you have used. You can try psm 6 
>>> for table. 
>>>
>>> Something like this.. 
>>> pytesseract.image_to_string(image, lang='eng', config='--psm 6')
>>>
>>> On Fri, May 31, 2019, 16:14 Sayali begampure <[email protected]> 
>>> wrote:
>>>
>>>> Used psm for 2 column documents. Its showing results perfectly.
>>>> Can you send link or pointers how to use it for table content 
>>>> extraction from scanned pdf?
>>>>
>>>> Thanks
>>>>
>>>> On Friday, 31 May 2019 16:00:36 UTC+5:30, Amulya Kali wrote:
>>>>>
>>>>> Did you try changing psm?
>>>>>
>>>>> On Fri, May 31, 2019, 15:57 Manasi sarode <[email protected]> 
>>>>> wrote:
>>>>>
>>>>>> That's fair enough.
>>>>>>
>>>>>> On Fri, May 31, 2019, 3:55 PM Sayali begampure <[email protected]> 
>>>>>> wrote:
>>>>>>
>>>>>>> We are trying to extract text content from normal pdf and scanned 
>>>>>>> pdf (image) using tesseract-ocr.
>>>>>>>
>>>>>>> We have observed following issues for the pdf's with table as table 
>>>>>>> Contents are not getting extracted properly.
>>>>>>>
>>>>>>>    1. Contents from few cells(rows/columns) are not 
>>>>>>>    visible.Sometimes heading of the table is missing.
>>>>>>>    2. If numbers are there inside table, all the numbers are not 
>>>>>>>    getting extracted.
>>>>>>>    3. Some letters are extracted wrongly . eg. i is misinterpreted 
>>>>>>>    as l.
>>>>>>>    4. Column sequence is getting interchanged as it is parsing 
>>>>>>>    horizontally.
>>>>>>>    5. Some extra characters are getting extracted along with normal 
>>>>>>>    one.
>>>>>>>
>>>>>>> Tried image_to_string ,image_to_data ,opencv approach
>>>>>>>
>>>>>>> Sample code used is:
>>>>>>>
>>>>>>> from PIL import Image
>>>>>>>
>>>>>>> import pytesseract from pytesseract import image_to_string from 
>>>>>>> pytesseract import image_to_boxes
>>>>>>>
>>>>>>> image=(pytesseract.image_to_string(Image.open('table_number.jpg'))) 
>>>>>>> print(image)
>>>>>>>
>>>>>>>
>>>>>>> It should extract rows and columns properly which it is not 
>>>>>>> extracting as of now. Kindly suggest function or method to enhance the 
>>>>>>> results for table content extraction using tesseract.
>>>>>>>
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