A New Stroke-based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition

Journal of South China University of Technology(Natural Science Edition) ›› 2003, Vol. 31 ›› Issue (3): 11-14.

• Computer Science & Technology • Previous Articles Next Articles

A New Stroke-based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition

Gao Xue¹ Jin Lian-wen¹ Yin Jun-xun¹ Huang Jian-cheng²#br#

1．Dept．of Electronics and Communication EngineeringSouth China Univ．of Tech．Guangzhou510640China； 2．Motorola China Research CenterShanghai200002China

Online:2003-03-20 Published:2022-04-15
Contact: 高学（1967－）男博士生主要从事图像处理与识别研究．
About author:高学（1967－）男博士生主要从事图像处理与识别研究．

Abstract

Abstract: A new directional feature extraction approach based on stroke directional decomposition of a Chinese character is proposed．Without extracting the skeleton or contour of the characterthe four directional sub-patternsnamelyhorizontalverticalleft up diagonal and right up diagonal sub-patterns are obtained directly by analyzing the stroke directional characteristics of the character．Then five kinds of elastic meshing methods are presented to extract cellular directional features．Finallyexperiments on handwritten samples from HCL2000are carried on which prove the effectiveness of the proposed approach．

Key words: directional decomposition, handwritten Chinese character recognition, feature extraction

CLC Number:

TP 391

Gao Xue, Jin Lian-wen, Yin Jun-xun, et al. A New Stroke-based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition[J]. Journal of South China University of Technology(Natural Science Edition), 2003, 31(3): 11-14.

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A New Stroke-based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition

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