| 一种融合两种主成分分析的人脸识别方法 |
| |
| 引用本文： | 徐 倩,邓 伟.一种融合两种主成分分析的人脸识别方法[J].计算机工程与应用,2007,43(35):195-197. |
| |
| 作者姓名： | 徐 倩 邓 伟 |
| |
| 作者单位： | 苏州大学计算机科学与技术学院,江苏苏州215006 |
| |
| 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。
|
| 关 键 词： | 主成分分析 人脸识别 信息融合 模糊综合 |
| 文章编号： | 1002-8331(2007)35-0195-03 |
| 修稿时间： | 2007年5月1日 |
Method of face recognition based on fusing two different PCA |
| |
| XU Qian,DENG Wei.Method of face recognition based on fusing two different PCA[J].Computer Engineering and Applications,2007,43(35):195-197. |
| |
| Authors: | XU Qian DENG Wei |
| |
| Affiliation: | School of Computer Science and Technology，Soochow University，Suzhou，Jiangsu 215006，China |
| |
| Abstract: | 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. |
| |
| Keywords: | Principal Component Analysis(PCA) face recognition information fusion fuzzy integration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
