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基于Fisher准则的多特征融合
引用本文:王正群,孙兴华,郭丽,杨静宇.基于Fisher准则的多特征融合[J].计算机工程,2002,28(3):41-42.
作者姓名:王正群  孙兴华  郭丽  杨静宇
作者单位:南京理工大学计算机科学系,南京,210094
摘    要:阐述了单个特征向量及其鉴别矢量与模式可分性的关系,最佳鉴别矢量使模式关于该特征具有最大的可分性。给出了多特征融合的一种方法,它综合考查了模式对不同的特征、不同的鉴别矢量的可分性,由多个特征经融合产生的新特征吸收了单个特征的对模式分类的优势。手写体汉字的识别试验验证了所给方法的有效性。

关 键 词:Fisher准则  手写体汉字  多特征融合  信息融合  信息处理  汉字识别
文章编号:1000-3428(2002)03-0041-02
修稿时间:2001年5月31日

Multifeature Fusion Based on Fisher Discriminant Criterion
WANG ZhengqunSUN XinghuaGUO LiYANG Jingyu.Multifeature Fusion Based on Fisher Discriminant Criterion[J].Computer Engineering,2002,28(3):41-42.
Authors:WANG ZhengqunSUN XinghuaGUO LiYANG Jingyu
Abstract:The relationship between single feature vector together with its discriminant vector and the separability the pattern can get is discussed in this paper, from that we know optimal discriminant vector can result in the best separability. We propose a new method of multi-features fusion in this paper, it considers all discriminant performances made by different features and different discriminant vectors, and the new feature produced by multi-features fusion has the advantages hold by every single feature. The experiments of handwritten Chinese character recognition show the effectiveness of the proposed approach.
Keywords:Fisher discriminant criterionDiscriminant vectorFeature fusionHandwritten Chinese character recognition  
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