基于2D-PCA与2D-MMC的人脸识别算法  

Face Recognition Algorithm Based on 2D-PCA and 2D-MMC

作　　者：王程锦 林玉娥[1] WANG Cheng-jin;LIN Yu-xi(Department of Computer Science and Engineering,Anhui University of Science and Technology,Huainan 232000,China)

机构地区：[1]安徽理工大学计算机科学与工程系，安徽 淮南 232000

出　　处：《电脑知识与技术》2019年第8期195-196,共2页Computer Knowledge and Technology

摘　　要：针对传统PCA与LDA算法存在运算量大和小样本问题的缺点,本文提出一种基于2D-PCA与2D-MMC的人脸识别算法,该算法将二维思想引入其中,并利用MMC的算法特性解决小样本问题。在ORL人脸库上的实验也体现了算法的有效性。Aiming at the shortcomings of traditional PCA and LDA algorithms with large computational complexity and small sample problem,this paper proposes a face recognition algorithm based on 2D-PCA and 2D-MMC,which introduces two-dimensional ideas and uses MMC algorithm.Features solve small sample problems.Experiments on the ORL face database also demonstrate the effectiveness of the algorithm.

关 键 词：主成分分析 最大间距准则 二维主成分分析 二维最大间距准则 小样本问题 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]