摘要
提出了一种融合两种主成分分析的人脸识别方法。首先,利用两种不同的主成分分析方法分别获得人脸识别结果;然后,从信息融合的角度出发,采用模糊综合的原理对结果进行融合,给出最终的识别结果。基于ORL人脸数据库的实验证明该方法的识别性能优于单一的主成分分析方法。
In this paper,a method of face recognition based on fusing two different Principal Component Analysis （PCA） is proposed.Firstly,the proposed method uses two different PCA to get the results of face recognition respectively.Then,the fuzzy integration principle is adopted to fuse these results from the standpoint of information fusion and the final recognition results are given.The experiments on the ORL face database show that the performance of the proposed method is superior to that of the single PCA.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第35期195-197,共3页
Computer Engineering and Applications
基金
国家自然科学基金( the National Natural Science Foundation of China under Grant No.60572074)
关键词
主成分分析
人脸识别
信息融合
模糊综合
Principal Component Analysis（ PCA ）
face recognition
information fusion
fuzzy integration
