山东电力技术Issue(5)：58-62,5.
一种基于布尔核SVM的人脸识别策略
A Recognizing Strategy for the Problem of Face Based on Boolean Kernel Function SVM
任天成 1刘新 1崔克彬2
作者信息
- 1. 山东电力研究院．山东济南250002
- 2. 华北电力大学,北京071003
- 折叠
摘要
Abstract
For the problem of face recognition, a recognizing strategy based on Boolean kernel function SVM is proposed. Firstly, Karhunen-Loeve transform is employed to get the representation basis of face image set ; secondly, the extracted characteristics is translated into 0-1 format; thirdly, SVM based Boolean kernel function are used to classify. The face recognition experiment with ORL face databases shows that the proposed method led to significantly better classification accuracy compared with traditional PCA method and Linear SVM.关键词
人脸识别/K—L变换/支持向量机/布尔核函数/多分类Key words
face recognition/support vector machines/Karhunen-Loeve transform/Boolean kernel function/multi-classification分类
信息技术与安全科学引用本文复制引用
任天成,刘新,崔克彬..一种基于布尔核SVM的人脸识别策略[J].山东电力技术,2011,(5):58-62,5.
