Improved adaptive principal component extraction algorithm and its application in image feature extraction - 文章详情页

作者：

Yin, Baocai (Yin, Baocai.) (学者：尹宝才) | Shi, Qin (Shi, Qin.) | Lei, Bin (Lei, Bin.) | Wang, Chengzhang (Wang, Chengzhang.)

收录：

EI Scopus

摘要：

An　improved　adaptive　principal　component　extraction　algorithm　is　proposed　in　this　present　study　to　overcome　the　high　algorithm　complexity　and　high　computing　complexity　that　exists　in　the　present　algorithms.　The　computing　complexity　is　decreased　by　improving　the　update　equation　of　feed-forward　network　weight　value.　Parallel　algorithm　of　the　improved　adaptive　principal　component　extraction　is　also　presented.　The　experimental　results　on　ORL　face　database　show　the　improved　adaptive　principal　component　extraction　algorithm　is　efficient　in　the　facial　feature　extraction.

关键词：

Database systems Face recognition Feature extraction Neural networks Parallel algorithms Principal component analysis

作者机构：

[ 1 ] [Yin, Baocai]Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Shi, Qin]Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Lei, Bin]Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory, Beijing University of Technology, Beijing 100022, China
[ 4 ] [Wang, Chengzhang]Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory, Beijing University of Technology, Beijing 100022, China

通讯作者信息：

电子邮件地址：

ybc@bjut.edu.cn

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