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SVM多值分类器在脱机手写体相似汉字识别中的应用
Recognition of Off-line Similar Handwritten Chinese Characters Based on Multi-class Support Vector Machines Classifier
【摘要】 相似字的普遍存在是影响脱机手写体汉字识别率低的主要原因之一。论文研究了支持向量机(SVM)多值分类器在手写相似汉字识别中的应用,所提出的方法采用了小波弹性网格技术提取汉字的特征,通过实验比较了三种不同的SVM分类器组合策略的分类效果。
【Abstract】 Similar characters are common among Chinese characters,which is a main reason for affecting the recognition rate of off -line handwritten Chinese character.This paper presents a recognition approach for similar handwritten Chinese characters based on multi -class support vector machines classifier.The technique of combining wavelet transform with elastic meshing is employed for a given handwritten character to extract its feature.The results of three different combination strategies of binary SVM classifiers are compared by the experiments.
【关键词】 相似汉字;
小波弹性网格;
支持向量机(SVM)多值分类器;
【Key words】 similar Chinese characters; wavelet transform and elastic meshing; multi-class support vector machines classifier;
【Key words】 similar Chinese characters; wavelet transform and elastic meshing; multi-class support vector machines classifier;
【基金】 河北省科学技术研究与发展指导计划项目(编号:02213560)
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2004年27期
- 【分类号】TP391.4
- 【被引频次】18
- 【下载频次】230