Feature Extraction for Handwritten Chinese Character by Overlapped Dynamic Meshing and Fuzzy Membership

WU Tian-lei; MA Shao-ping

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Feature Extraction for Handwritten Chinese Character by Overlapped Dynamic Meshing and Fuzzy Membership

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- Feature Extraction for Handwritten Chinese Character by Overlapped Dynamic Meshing and Fuzzy Membership
- Acta Electronica Sinica Vol. 32, Issue 2, Pages: 186-190(2004)
- 作者机构：
  
  1. 清华大学计算机科学与技术系
  2. 智能技术与系统国家重点实验室,北京,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP39
- Published：2004
- 稿件说明：
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WU Tian-lei, MA Shao-ping. Feature Extraction for Handwritten Chinese Character by Overlapped Dynamic Meshing and Fuzzy Membership[J]. Acta Electronica Sinica, 2004, 32(2): 186-190.
DOI：

WU Tian-lei, MA Shao-ping. Feature Extraction for Handwritten Chinese Character by Overlapped Dynamic Meshing and Fuzzy Membership[J]. Acta Electronica Sinica, 2004, 32(2): 186-190. DOI：

摘要

本文在基于动态网格的手写汉字特征抽取方法中引入重叠网格划分

定义了一种反映书写结构的加权点密度

并提出了一种根据密度投影计算模糊隶属度的方法

这些措施提高了特征的分类能力.各种网格划分方法提取方向线素特征进行了试验比较

结果表明本文的特征抽取方法的在识别率上优于传统的动态网格方法和采用非线性归一化预处理的静态网格方法.

Abstract

Dynamic meshing integrates nonlinear shape normalization into feature extraction without introducing any new distortions.A feature extraction method using overlapped dynamic meshing is proposed for handwritten Chinese Character Recognition.a density image is defined for an input character image.Based on the density image

overlapped meshes and fuzzy membership are dynamically calculated.Fuzzy contour direction feature (FCDF) extracted with the proposed method is introduced.Experimental results show that significant improvement in recognition rate is yielded compared to conventional static or dynamic meshing methods.

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