95 articles 

inria-00105120, version 1

Prototype Selection Methods for On-line HWR

Jakob Sternby () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: Prototype matching strategies such as DP-matching are powerful methods for character recognition problems with very large number of classes such as on-line Chinese character recognition. As for many problems with a large number of classes data is normally comparatively scarce for on-line Chinese characters and therefore prototype se- lection methods for use under these circumstances need to be robust against over-training. The methods investigated in this paper are incremental in the sense that all proto- type additions are based on the number of misclassifica- tions caused by the current database. This may be highly beneficial as it is possible to use the methods on databases that have undergone other optimization methods. Experi- ments have been conducted on the HANDS Kanji data and it reveals some interesting results.

  • 1:  Centre for Mathematical Sciences
  • Lund University
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Prototype Template matching Dynamic Programming Optimization
  • Comment : http://www.suvisoft.com
 
  • inria-00105120, version 1
  • oai:hal.inria.fr:inria-00105120
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  • Submitted on: Tuesday, 10 October 2006 13:10:07
  • Updated on: Tuesday, 10 October 2006 14:19:26