• DocumentCode
    2145138
  • Title

    A Generative Model for Handwritings Based on Enhanced Feature Desynchronization

  • Author

    Uchida, Seiichi ; Sasaki, Toru ; Yaokai, Feng

  • Author_Institution
    Kyushu Univ., Fukuoka, Japan
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    589
  • Lastpage
    593
  • Abstract
    A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of x and y coordinate features of different timings. By changing the timings to be coupled, the model can generate various deformed patterns from a single pattern. The model is further enhanced by incorporating an adaptive rotation at each timing for increasing the variety of deformed patterns. An important fact is that this enhanced desynchronization model can be interpreted intuitively as a deformation process in actual handwriting. Experimental results showed that the model can generate various handwriting patterns close to actual deformed patterns.
  • Keywords
    handwritten character recognition; actual handwriting; adaptive rotation; desynchronization model; enhanced feature desynchronization; generative model; handwriting patterns; Adaptation models; Character recognition; Couplings; Deformable models; Hidden Markov models; Humans; Timing; feature desynchronization; generative model; handwritings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4577-1350-7
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2011.124
  • Filename
    6065379