This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Improved Nearest Neighbor Based Approach to Accurate Document Skew Estimation
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
Yue Lu, National University of Singapore
Chew Lim Tan, National University of Singapore
The nearest-neighbor based document skew detection methods do not require the presence of a predominant text area, and are not subject to skew angle limitation. However, the accuracy of these methods is not perfect in general. In this paper, we present an improved nearest-neighbor based approach to perform accurate document skew estimation. Size restriction is introduced to the detection of nearest-neighbor pairs. Then the chains with a largest possible number of nearest-neighbor pairs are selected, and their slopes are computed to give the skew angle of document image. Experimental results on various types of documents containing different linguistic scripts and diverse layouts show that the proposed approach has achieved an improved accuracy for estimating document image skew angle and has an advantage of being language independent.
Citation:
Yue Lu, Chew Lim Tan, "Improved Nearest Neighbor Based Approach to Accurate Document Skew Estimation," icdar, vol. 1, pp.503, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
Usage of this product signifies your acceptance of the Terms of Use.