I also experienced a similar problem with images especially if they used
fixed-pitch fonts (older scanned documents often did).
Tesseract groups characters vertically assuming rotated text. I used PSM 6
instead of 3 with some improvement, but it did miss significant portions of
text in return.
I was processing old student records looking for personal information, like
SS#, to redact. I ended up running Tesseract multiple times with
different PSM modes. Each mode picked up certain parts and missed on
others. It was time-consuming.
Is there an engine flag (or can one be added) to force "no-rotate policy"
on layout analysis? I think it will be of tremendous help.
Thanks,
Farhad

On Fri, Nov 8, 2019 at 7:33 AM Alex Giokas <[email protected]> wrote:

> If your PDF is not a bitmap, then you don't need OCR, simply extract the
> text.
> If the PDF is a bitmap, then convert it to an image format, and then OCR
> it.
> You can play with PSM options (instead of 3, try 11 or 12) if your PDF is
> sparse, I get better accuracy that way.
> If you really need a line-by-line approach, then you have to use some
> pre-processing algorithm (e.g., use OpenCV to find rows of text, extract
> that as a ROI, and feed that ROI to tesseract one at a time).
> This can be easily achieved, but it increases computation time
> tremendously.
>
> Regards,
> Alex
>
> On Friday, 8 November 2019 14:15:43 UTC, jcr wrote:
>>
>> when processing PDF files to obtain text content (convert to TIF with
>> ImageMagick + run Tesseract 4.1.0 on output), I observe that in many cases,
>> the input is read "vertically", such that words/numbers being close to each
>> other (e.g. same line) in the input are torn apart in the txt output.
>>
>> Is there any way to prevent this? And are there any recommendations for
>> configuration of DPI etc. when processing PDF to text?
>>
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