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- W2362454114 abstract "As the human face image is at a high dimension,how to reduce the dimension quickly and extract the main features of the human face images was studied in this paper,as well as how to achieve efficiency in human face recognition.The first step was to study 2DPCA,LDA and RBF neural network algorithm.Then,the 2DPCA+LDA method was designed for human face image feature extraction and dimension reduction,as well as human face image classification,taking advantage of RBF neural network method.Finally,this method was used in the experiments based on ORL face database and it was proved that high recognition rate could be reached and the time of human face recognition could be reduced well." @default.
- W2362454114 created "2016-06-24" @default.
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- W2362454114 date "2014-01-01" @default.
- W2362454114 modified "2023-09-25" @default.
- W2362454114 title "2DPCA and LDA Based Face Image Preprocessing and RBF Neural Network Based Human Face Recognition" @default.
- W2362454114 hasPublicationYear "2014" @default.
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