文章基本信息

标题：Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment
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作者：Wu, Di ; Cao, Jie ; Wang, Huajin 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2012
卷号：7
期号：10
页码：2479-2487
DOI：10.4304/jcp.7.10.2479-2487
语种：English
出版社：Academy Publisher
摘要：In this paper, a new face recognition method based on kernel discriminate local preserve projection(KDLPP) and Multi-feature fusion under smart environment is proposed . In order to solve the small sample size problem, combined with kernel theory and QR decomposition, a new face recognition algorithm named kernel discriminate local preserve projection is proposed based on discriminate local preserve projection algorithm. considered the external features are useful in face recognition, because hair is a highly variable feature of human face ,so we combined hair features and DCT features on the feature layer. The experiments on the AMI database indicate the proposed method can enhance the accuracy of the recognition system effectively.
关键词：Kernel Discriminate Local Preserve Projection(KDLPP);Hair Feature;Discrete Cosine Transform;Feature Fusion