Handwritten Chinese radical recognition using nonlinear active shape models

Handwritten Chinese characters can be recognized by first extracting the basic shapes (radicals) of which they are composed. Radicals are described by nonlinear active shape models and optimal parameters found using the chamfer distance transform and a dynamic tunneling algorithm. The radical recogn...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2003-02, Vol.25 (2), p.277-280
Main Authors: Shi, D., Gunn, S.R., Damper, R.I.
Format: Article
Language:English
Subjects:
Active shape model
Chamfering
Character recognition
Data mining
Deformable models
Gunn devices
Handwriting recognition
Heuristic algorithms
Mathematical models
Nonlinearity
Polynomials
Principal component analysis
Radicals
Recognition
Shape recognition
Tunneling
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Summary:Handwritten Chinese characters can be recognized by first extracting the basic shapes (radicals) of which they are composed. Radicals are described by nonlinear active shape models and optimal parameters found using the chamfer distance transform and a dynamic tunneling algorithm. The radical recognition rate is 96.5 percent correct (writer-independent) on 280,000 characters containing 98 radical classes.
ISSN:0162-8828
1939-3539
DOI:10.1109/TPAMI.2003.1177158