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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >Enhancing Performance of Face Recognition System by Using near Set Approach for Selecting Facial Features
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Enhancing Performance of Face Recognition System by Using near Set Approach for Selecting Facial Features

机译:利用近集法选择人脸特征提高人脸识别系统性能

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摘要

The application of Support Vector Machines (SVMs) in face recognition is investigated in this paper. SVM is a classification algorithm recently developed by V. Vapnik and his team. We illustrate the potential of SVMs on the Cambridge ORL face database, wh
机译:研究了支持向量机(SVM)在人脸识别中的应用。 SVM是V. Vapnik及其团队最近开发的一种分类算法。我们在剑桥ORL人脸数据库上说明了SVM的潜力

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