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基于2DPCA和Fisher的嵌入式人脸识别系统的实现
引用本文:乐丹,罗文兵,叶继华,王仕民.基于2DPCA和Fisher的嵌入式人脸识别系统的实现[J].科技广场,2011(1):87-90.
作者姓名:乐丹  罗文兵  叶继华  王仕民
作者单位:1. 江西省人力资源和社会保障厅信息中心,江西,南昌,330025
2. 江西师范大学计算机信息工程学院,江西,南昌,330022
基金项目:江西省科技支撑项目(2007-136); 江西师范大学科研项目(2009-7)资助
摘    要:使用人脸类Haar特征进行人脸检测,采用2DPCA与Fisher结合的降维算法得到人脸特征子空间,将经过PC机得到的样本特征子空间文件通过网络传输到嵌入式平台,结合最近邻算法识别人脸,实现了一种嵌入式人脸识别系统,较好地解决了嵌入式人脸识别系统由于图像处理数据巨大而造成处理效率低的难点。基于EELiod270嵌入式开发平台实现了该系统,结合实际图片进行了人脸识别测试,实践结果表明系统效果良好。

关 键 词:嵌入式系统  人脸识别  Haar  2DPCA  Fisher

Implement of Embedded Face Recognition System Based on 2DPCA and Fisher
Le Dan,Luo Wenbing,Ye Jihua,Wang Shimin.Implement of Embedded Face Recognition System Based on 2DPCA and Fisher[J].Science Mosaic,2011(1):87-90.
Authors:Le Dan  Luo Wenbing  Ye Jihua  Wang Shimin
Institution:Le Dan Luo Wenbing Ye Jihua Wang Shimin (1.Infomation Center,Department of Human Resources and Social Security of Jiangxi Province,Jiangxi Nanchang 330025,2.College of Computer Information Engineering,Jiangxi Normal University,Jiangxi Nanchang 330022)
Abstract:The embedded face recognition system detects face by using Haar-like features of face, and the face features are extracted by using 2DPCA and fisher dimension decline algorithm. The face features subspace of training samples is first acquired in personal computer, and then it is transmitted to the platform of embedded system by network, at last the test face is recognized by using the nearest distance algorithm. The system solves the problem that the efficiency of embedded face recognition system is low bec...
Keywords:Embedded Operating System  Face Recognition  Hhaar  2DPCA  Fisher  
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