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中文摘要：
提出一种基于DP匹配的特征矩阵相似性度量方法．首先，在对象矩阵与样本矩阵的行向量之间采用一维DP匹配方法，产生一个相似行向量来替代对象矩阵．然后再用一维DP匹配计算相似行向量与样本矩阵的标准行向量之间的匹配距离．最后在匹配距离上定义两个特征矩阵的相似度．此方法本质上是将二维特征矩阵的匹配问题转化为两个一维向量的DP匹配，适用于解决二维对象的识别和检索问题．在图像检索系统平台中对本文给出的相似性度量方法进行验证，结果表明此方法是有效的。
英文摘要：
A novel feature matrix similarity measure method , which is suitable for two dimensional object recognition and matching, is presented. In this method, a similar-row vector is produced by comparing dynamic programming （ DP ） matching distances , which describe the similarity between the row of a query matrix and those of a sample matrix. And the similar-row vector is used to represent the query matrix. Then the DP matching is again performed to obtain a similarity measure. The proposed method is employed in an image retrieval system using a dominant color feature matrix representation. The experimental results show that the method is efficient.
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