95 articles 

inria-00104383, version 1

Online Character Segmentation Method for Unconstrained Handwriting Strings Using Off-stroke Features

Naohiro Furukawa () 1, Junko Tokuno () 2, Hisashi Ikeda () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: In this paper, an online character segmentation method for unconstrained strings is proposed. To recognize unconstrained-expression strings such as those in phrases and informal notations, we designed physical features of segmented patterns, in particular, off-stroke features. Segmented-pattern likelihood was also defined from these features using a probabilistic model. Evaluations using a digital pen system showed that the character segmentation rates were 97.8%, 91.7%, and 75.6% of numerals, Japanese characters, and all characters (numerals, alphabets, symbols, and Japanese characters), respectively.

  • 1:  Central Research Laboratory
  • Hitachi
  • 2:  Center for Innovation and Intellectual Property (CIIP)
  • Tokyo University of Agriculture and Technology
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Character segmentation – online recognition – box-free recognition – off-stroke feature – digital pen.
  • Comment : http://www.suvisoft.com
 
  • inria-00104383, version 1
  • oai:hal.inria.fr:inria-00104383
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  • Submitted on: Friday, 6 October 2006 14:07:18
  • Updated on: Friday, 6 October 2006 14:16:45