95 articles 

inria-00108303, version 1

Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction

Cheng-Lin Liu () a12, Xiang-Dong Zhou a12

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: This paper describes an online Japanese character recognition system using advanced techniques of pattern normalization and direction feature extraction. The normalization of point coordinates and the decomposition of direction elements are directly performed on online trajectory, and therefore, are computationally efficient. We compare one-dimensional and pseudo two-dimensional (pseudo 2D) normalization methods, as well as direction features from original pattern and from normalized pattern. In experiments on the TUAT HANDS databases, the pseudo 2D normalization methods yielded superior performance, while direction features from original pattern and from normalized pattern made little difference.

  • a –  Institute of Automation, Chinese Academy of Sciences
  • 1:  National Laboratory of Pattern Recognition [Beijing] (NLPR)
  • Institute of Automation, Chinese Academy of Sciences
  • 2:  Pattern (LIAMA)
  • Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] – CNRS – Institut national de la recherche agronomique (INRA) – INRIA – Chinese Academy of Science (CAS) – Institute of Automation, Chinese Academy of Sciences
  • Domain : Computer Science/Computer Vision and Pattern Recognition
    Computer Science/Document and Text Processing
  • Keywords : Online character recognition – Trajectorybased normalization – Pseudo 2D normalization – Direction feature extraction.
  • Comment : http://www.suvisoft.com
 
  • inria-00108303, version 1
  • oai:hal.inria.fr:inria-00108303
  • From: 
  • Submitted on: Friday, 20 October 2006 13:03:23
  • Updated on: Thursday, 14 December 2006 17:36:25