You can check out the Wiki article on DAWGs to see that the reverse
conversion to word lists generally is not unique.
Warm regards,
Dmitri Silaev
www.CustomOCR.com
On Tue, Jul 29, 2008 at 3:49 PM, Donatas G. wrote:
>
> is it possible to extract/decompile a dawg file? I would like to look
> at t
Did you get to extract/decompiler dawg files ?
kind regards
Richard
On Tuesday, July 29, 2008 9:49:03 PM UTC+10, Donatas G. wrote:
>
> is it possible to extract/decompile a dawg file? I would like to look
> at the contents of english freq-dawg and word-dawg files, but cannot
> find the cources f
Hi,
Where can I download dawg2wordlist.exe ?
does it work for all dawg files ? eg punc , wordlist, frequent_words etc
kind regards
Richard
On Thursday, March 8, 2012 6:48:49 PM UTC+11, sriranga(79yrsold) wrote:
>
> I forgot to inform that I have already generated lib_debug
> version"dawg2wordl
Hi Tom,
Do you know if dawg2wordlist is going to be ported or migrated into vs2010
project ?
Do have copy of dawg2wordlist.exe I can try out please ?
kind regards
Richard
On Friday, February 24, 2012 4:02:32 AM UTC+11, Tom Powers wrote:
>
> The latest installment of my Visual Studio 2008 Solu
Hi TP,
I was wondering if you send me the vs2010 source files for Tesseract-OCR
project ?
Have you been able to compile dawg2wordlist.exe using vs2010 ?
Could I have a copy of that too please ?
kind regards
Richard
On Thursday, March 1, 2012 6:56:58 AM UTC+11, TP wrote:
>
> On Wed, Feb 29, 2
On Mon, Jul 09, 2012 at 02:26:37AM -0700, Umair Anjum wrote:
> Actually I want to close all function calling of dictionary classes
> Because I want to improve systems recognition time
Yes, that is what Zdenko's advice will do.
If you want more fine-grained control over which functions are
called
Hi,
I'm glad the standard trained data is working well. Particularly
given that (presumably) it's against a non-white background - people
have found that to be a big obstacle in the past.
I would suggest against completely retraining it. As the training
source files are not available it would tak
Hi,
I am trying to OCR dvd subtitle images using tesseract.
It gives very good results with the built-in trained data.
However, I would like to improve the output quality.
Typical errors are missing of spaces, I vs l , / vs *l* etc.
What is the best way to achieve it ?
I tried training with subtit
Hello
Actually I want to close all function calling of dictionary classes
Because I want to improve systems recognition time
Thanks in Advance
On Saturday, 7 July 2012 14:42:37 UTC+5, zdpo wrote:
>
> try to set these variables (found in 3.02) to false:
> load_system_dawg
> load_freq_dawg
> load
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