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Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model

This paper presents novel feature extraction and classification methods for online handwritten Chinese character recognition (HCCR). The X-graph and Y -graph transformation is proposed for deriving a feature, which shows useful properties such as invariance to different writing styles. Central to th...

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Main Authors:	Chang, Y. F., Lee, J. C., M. Rijal, O., Syed Abu Bakar, Syed Abdul Rahman
Format:	Article
Language:	English
Published:	AMCS 2010
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/27067/1/SyedAbdulRahman2010_EfficientOnlineHandwrittenChineseCharacterRecognition.pdf http://eprints.utm.my/id/eprint/27067/ http://dx.doi.org/10.2478/v10006-010-0055-x
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id	my.utm.27067
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spelling	my.utm.270672019-05-22T01:17:23Z http://eprints.utm.my/id/eprint/27067/ Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model Chang, Y. F. Lee, J. C. M. Rijal, O. Syed Abu Bakar, Syed Abdul Rahman TK Electrical engineering. Electronics Nuclear engineering This paper presents novel feature extraction and classification methods for online handwritten Chinese character recognition (HCCR). The X-graph and Y -graph transformation is proposed for deriving a feature, which shows useful properties such as invariance to different writing styles. Central to the proposed method is the idea of capturing the geometrical and topological information from the trajectory of the handwritten character using the X-graph and the Y-graph. For feature size reduction, the Haar wavelet transformation was applied on the graphs. For classification, the coefficient of determination (R2p) from the two-dimensional unreplicated linear functional relationship model is proposed as a similarity measure. The proposed methods show strong discrimination power when handling problems related to size, position and slant variation, stroke shape deformation, close resemblance of characters, and non-normalization. The proposed recognition system is applied to a database with 3000 frequently used Chinese characters, yielding a high recognition rate of 97.4% with reduced processing time of 75.31%, 73.05%, 58.27% and 40.69% when compared with recognition systems using the city block distance with deviation (CBDD), the minimum distance (MD), the compound Mahalanobis function (CMF) and the modified quadratic discriminant function (MQDF), respectively. High precision rates were also achieved. AMCS 2010-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/27067/1/SyedAbdulRahman2010_EfficientOnlineHandwrittenChineseCharacterRecognition.pdf Chang, Y. F. and Lee, J. C. and M. Rijal, O. and Syed Abu Bakar, Syed Abdul Rahman (2010) Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model. International Journal Of Applied Mathematics And Computer Science, 20 (4). pp. 727-738. ISSN 1641-876X http://dx.doi.org/10.2478/v10006-010-0055-x DOI:10.2478/v10006-010-0055-x
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Chang, Y. F. Lee, J. C. M. Rijal, O. Syed Abu Bakar, Syed Abdul Rahman Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
description	This paper presents novel feature extraction and classification methods for online handwritten Chinese character recognition (HCCR). The X-graph and Y -graph transformation is proposed for deriving a feature, which shows useful properties such as invariance to different writing styles. Central to the proposed method is the idea of capturing the geometrical and topological information from the trajectory of the handwritten character using the X-graph and the Y-graph. For feature size reduction, the Haar wavelet transformation was applied on the graphs. For classification, the coefficient of determination (R2p) from the two-dimensional unreplicated linear functional relationship model is proposed as a similarity measure. The proposed methods show strong discrimination power when handling problems related to size, position and slant variation, stroke shape deformation, close resemblance of characters, and non-normalization. The proposed recognition system is applied to a database with 3000 frequently used Chinese characters, yielding a high recognition rate of 97.4% with reduced processing time of 75.31%, 73.05%, 58.27% and 40.69% when compared with recognition systems using the city block distance with deviation (CBDD), the minimum distance (MD), the compound Mahalanobis function (CMF) and the modified quadratic discriminant function (MQDF), respectively. High precision rates were also achieved.
format	Article
author	Chang, Y. F. Lee, J. C. M. Rijal, O. Syed Abu Bakar, Syed Abdul Rahman
author_facet	Chang, Y. F. Lee, J. C. M. Rijal, O. Syed Abu Bakar, Syed Abdul Rahman
author_sort	Chang, Y. F.
title	Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
title_short	Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
title_full	Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
title_fullStr	Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
title_full_unstemmed	Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
title_sort	efficient online handwritten chinese character recognition system using a two-dimensional functional relationship model
publisher	AMCS
publishDate	2010
url	http://eprints.utm.my/id/eprint/27067/1/SyedAbdulRahman2010_EfficientOnlineHandwrittenChineseCharacterRecognition.pdf http://eprints.utm.my/id/eprint/27067/ http://dx.doi.org/10.2478/v10006-010-0055-x
_version_	1643647940291461120
score	13.211869

Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model

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