Thank you very much, Sachin! I will try that, what I want to do is to 
dewarp the text in pic like this. Currently I got no good result with the 
border noise, since my algorithm isn't sensitive enough to it. Do you think 
I could either physically detect and cut off the border noise or use a 
filter pipe to get ride of this edge noise content. 

<https://lh3.googleusercontent.com/-FsAEUkT147s/VYHbFz--WVI/AAAAAAAAENk/lZcUQx1oqWw/s1600/Y1C7v.jpeg>

<https://lh3.googleusercontent.com/-c4wuMs2Y59c/VYHcC6JWhaI/AAAAAAAAENw/HzuWZyls0TA/s1600/Y1C7v.bin.jpg>

and that's what I got from you ocrpus-nlbin -n function. 


Any suggestion would be appreciated. Thank you very much!
 


在 2015年6月16日星期二 UTC-4下午6:03:00,Sachin Garg写道:
>
> A very good intro is here: 
>
>
> http://www.danvk.org/2015/01/07/finding-blocks-of-text-in-an-image-using-python-opencv-and-numpy.html
>  
>
> However, in my case the "-n" option to "ocropus-nlbin" (as in 
>
> http://www.danvk.org/2015/01/09/extracting-text-from-an-image-using-ocropus.html)
>  
>
> did not work. 
>
> I have a similar problem: vertical text around the borders that needs to 
> be ignored ... 
>
> On 16-Jun-15 4:41 PM, Everest wrote: 
> > Hello I am working on a project dealing with document image. What I want 
> > to handle now is to remove the border noise from a whole scanned colored 
> > image. 'Cause I didn't get a document about this project, could anyone 
> > provide me with a explanation about how to apply a  method to get the 
> > expected text area from a original image or binarized image? Thank you 
> > very much! 
> > 
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> Sachin Garg <[email protected] <javascript:>> 
> Doctoral Student 
> School of Policy, Government & Intl. Affairs 
> George Mason University 
> 3351 Fairfax Drive MS3B1, Arlington, VA 22201, USA 
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