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首页> 外文期刊>The Journal of grey system >Methods of Face Recognition based on Local Singular Value Decomposition and Grey Relational Analysis
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Methods of Face Recognition based on Local Singular Value Decomposition and Grey Relational Analysis

机译：基于局部奇异值分解和灰色关联分析的人脸识别方法

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摘要

Aiming at the small sample size problem of effective recognition characteristic information in the process of face recognition, a method of face recognition based on local singular value decomposition and grey relational analysis is presented in this paper. This method obtains weights by calculating the correlation coefficients of facial region, and utilizes grey relational analysis to recognize face. The experiments were conducted by means of ORL face-database and Yale face-database. We utilized the top 10 largest singular value feature vectors of each facial region to represent the facial image. The results of the experiments show that this face recognition methods can obtain correct recognition results with small sample facial feature information.
机译：针对人脸识别过程中有效识别特征信息样本量少的问题，提出了一种基于局部奇异值分解和灰色关联分析的人脸识别方法。该方法通过计算面部区域的相关系数来获得权重，并利用灰色关联分析来识别面部。实验是通过ORL人脸数据库和Yale人脸数据库进行的。我们利用每个面部区域的前10个最大奇异值特征向量来表示面部图像。实验结果表明，该人脸识别方法能够以较少的样本人脸特征信息获得正确的识别结果。

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