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
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