基于主成分分析的人脸识别研究与仿真
首发时间:2010-11-15
摘要:人脸识别是利用计算机对人脸图像进行分析处理,并从中提取能表征人脸图像的识别信息,用以进行人脸鉴别的一门技术。目前人脸识别技术比较多,优缺点各不相同。本文对研究人脸识别的典型算法主成分分析(PCA)及其改进算法二维主成分分析(2DPCA)方法进行了理论研究,并通过MATLAB仿真进行了性能比较,实验表明2DPCA识别率更高,识别时间更短。
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Research and Simulation of Face Recognition Based on PCA
Abstract:Face recognition is a kind of technology which can complete to recognize face by analyzing and processing the face image in the computer,and extracting the representation of face image from the processed image.At present, there are many technologies of face recognition ,and each of them has its special.This paper analyzes the typical method of face recognition Principal Componet Analysis (PCA) and its improved method 2DPCA and compares the capability of the two methods through the simulation soft MATLAB,and it's showed that 2DPCA is superior to the traditional PCA.
Keywords: face recognition PCA 2DPCA feature extraction
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No.4390887544493128****
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