loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Line sweep thinning algorithm for feature analysis
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
Fu Chang, Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
Ya-Ching Lu, Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
T. Pavlidis, Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
In a previous article (Proc. 3rd Int. Conf. Document Anal. and Recogn., Montreal, Canada, pp. 227-30, 1995), we showed that a line sweep algorithm is an efficient means of line thinning. A line sweep is a process that works on polygonal figures and pairs the edges that bound the figure interior from two sides. In this article, we improve and extend this approach in the following way. First, a new method is used for grouping paired edges into regular and intersection regions. The regular regions can be found at the site where pairings between edges exist. Intersection regions, on the other hand, are where such relations cease to exist, due to the fact that pair relations between edges of wide distance are cancelled. Secondly, a salient feature of our new approach is to simultaneously find the set of regular regions that attach to the same intersection region. Such a set is called an intersection set. The output of our algorithm consists of skeletons as well as intersection sets. Both of them can be used as features for subsequent character recognition. Moreover, the line sweep thinning algorithm is efficient in computation as compared with a pixel-based thinning algorithm which outputs skeletons only.
Index Terms:
edge detection; line sweep thinning algorithm; feature analysis; polygonal figures; paired edges; figure interior bounding; regular regions; intersection regions; intersection set; skeletons; character recognition
Citation:
Fu Chang, Ya-Ching Lu, T. Pavlidis, "Line sweep thinning algorithm for feature analysis," icdar, pp.123, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
Usage of this product signifies your acceptance of the Terms of Use.