Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition

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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1

Edinburgh, Scotland

August 03-August 06

ISBN: 0-7695-1960-1

	ASCII Text	x
	G. S. Ng, D. Shi, S. R. Gunn, R. I. Damper, "Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition," Document Analysis and Recognition, International Conference on, vol. 1, pp. 534, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227722, author = {G. S. Ng and D. Shi and S. R. Gunn and R. I. Damper}, title = {Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition}, journal ={Document Analysis and Recognition, International Conference on}, volume = {1}, year = {2003}, isbn = {0-7695-1960-1}, pages = {534}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227722}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition SN - 0-7695-1960-1 SP EP A1 - G. S. Ng, A1 - D. Shi, A1 - S. R. Gunn, A1 - R. I. Damper, PY - 2003 KW - null VL - 1 JA - Document Analysis and Recognition, International Conference on ER -

G. S. Ng, Nanyang Technological University

D. Shi, Nanyang Technological University

S. R. Gunn, University of Southampton

R. I. Damper, University of Southampton

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227722

This paper proposes active handwriting models, in which kernel principal component analysis is applied to capture nonlinear handwriting variations. In the recognition phase, the chamfer distance transform and a dynamic tunnelling algorithm (DTA) are employed to search for the optimal shape parameters. The proposed methodology is successfully applied to a novel radical decomposition approach to the challenging problem of handwritten Chinese character recognition.

Citation:

G. S. Ng, D. Shi, S. R. Gunn, R. I. Damper, "Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition," icdar, vol. 1, pp.534, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003

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