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
Link To Document :
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