Niral,

IMO the bitness is not the reason here. You are striving to optimize
the running time for a single image but using different types of
processors.

Tesseract at this time does not take advantage of multi-processor or
multi-core architecture. A single instance of Tesseract-enabled app
would run on a single core, hence all that matters is the clock,
memory and FSB speed, cache etc. Unless you make your own efforts to
write a multi-threaded Tesseract API based app, chopping an input
image to pieces and processing them in parallel. However special care
and manual changes to Tesseract code are required to make it
thread-safe.

On the other hand, if you plan to use Tesseract in a high load
production environment, another approach is to rely on the host OS
task scheduler and run multiple instances of Tesseract (or your
Tesseract-enabled app) in parallel. Then the benefits of a multi-core
environment may become more evident. The task scheduler would balance
the load between the cores and overall system's processing speed would
be better.

If the CPU speeds of your boxes are too close, then the reason might
be in a suboptimal hardware configuration, or maybe a cluttered
software environment.

To configure your system's hardware, you'll need a clean machine (or
many of diverse types) and quite a few experiments to understand CPU
and memory consumption for your types of images.

Warm regards,
Dmitri Silaev
www.CustomOCR.com


On Thu, Oct 31, 2013 at 10:36 AM, Niral Prajapati <[email protected]> wrote:
> Hello All,
>
> I am using Tesseract3.0 for searchable pdf after creating hocr format files
> , it takes 2-3 seconds for single image ( System configuration : Windows
> 64bit Os, Intel i5-2500 CPU @3.30 GHZ , 8GB RAM ).
>
> This is quite acceptable time for me,
>
> but it takes 20-23 seconds for single image (System configuration: Windows
> Server 2003 -32bit, Intel Quad CPU , 8GB RAM )
>
> which is totaly unacceptable ,
>
> can anyone advise me to reduce this time ??...
> Thanks in advance
>
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