This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Multi-Window Binarization of Camera Image for Document Recognition
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
In-Jung Kim, Inzisoft, co., ltd.
This paper proposes an adaptive binarization method for the document image acquired by camera. By applying multiple windows vary in size, it determines the local thresholds with the information from the global trend as well as the local detail. As the consequence, the proposed method is good at not only preserving fine detail of the character structure but also absorbing noise. The effectiveness of the proposed method was shown by the experiment.
Index Terms:
adaptive binarization, camera image
Citation:
In-Jung Kim, "Multi-Window Binarization of Camera Image for Document Recognition," iwfhr, pp.323-327, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.