Palmprint recognition based on Dempster-Shafer classfier combination

Zhang Nan
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引用次数: 1

Abstract

The palmprint recognition based on Dempster-Shafer classfier combination is presented in this paper. Linear Discriminant Classifier (LDC), One Against All Support Vector Machine (OAASVM) classifier, K-Nearest Near (KNN) classifier and Dempster-Shafer classfier combination are used in our experiments. From the experiment result with the above 3 individual classifiers and DS classifier combination on PolyU Palmprint Database (The Second Version), it can be seen that DS combination approach get a better performance than those individual classifiers.
基于Dempster-Shafer分类器组合的掌纹识别
提出了一种基于Dempster-Shafer分类器组合的掌纹识别方法。实验中使用了线性判别分类器(LDC)、单抗全支持向量机(OAASVM)分类器、k -最近邻(KNN)分类器和Dempster-Shafer分类器组合。从以上3种分类器和DS分类器组合在理大掌纹数据库(第二版)上的实验结果可以看出,DS组合方法比单独分类器获得了更好的性能。
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