This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 The Eighth IAPR International Workshop on Document Analysis Systems
Shape Code Based Lexicon Reduction for Offline Handwritten Word Recognition
September 16-September 19
ISBN: 978-0-7695-3337-7
A novel method to reduce the lexicon size in handwritten word recognition is proposed in this paper. Due to large lexica, the computational cost of current word recognisers is often too high for practical applications. The proposed lexicon reduction method is based on character shape codes. We examine four different shape code mappings based on machine printed character font, on handprint, and on cursive handwriting. Experimental evaluation shows that the proposed method can reduce the computational effort while keeping the recognition rate high.
Index Terms:
Shape Codes, Handwriting Recognition, Lexicon Reduction
Citation:
Roman Bertolami, Christoph Gutmann, Horst Bunke, A. Lawrence Spitz, "Shape Code Based Lexicon Reduction for Offline Handwritten Word Recognition," das, pp.158-163, 2008 The Eighth IAPR International Workshop on Document Analysis Systems, 2008
Usage of this product signifies your acceptance of the Terms of Use.