基于Dempster-Shafer分类器组合的掌纹识别

2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization Pub Date : 2012-11-12 DOI:10.1109/ICSSEM.2012.6340848

Zhang Nan

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引用次数: 1

摘要

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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Palmprint recognition based on Dempster-Shafer classfier combination

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.

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来源期刊

2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization

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