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- W2381330492 abstract "Based on improved modular PCA,that is modular PCA based on the within class average face,a human face recognition technique based on PCA is presented.Firstly,the with-in class mean of each sub-image of all training samples in each class is calculated,and using it to normalize corresponding sub-image of with-in class.After that,the best projecting matrix from general matrix that is made up of all normalized sub-images can be obtained accordingly.Secondly,when all sub-images of training samples and testing samples are projected to the best projecting matrix that has been got above,the recognition features is produced;Finally,the nearest distance classification is used to distinguish each face.The experiment results on ORL face database indicate that improved modular PCA is obviously superior to that of general modular PCA." @default.
- W2381330492 created "2016-06-24" @default.
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- W2381330492 date "2008-01-01" @default.
- W2381330492 modified "2023-09-23" @default.
- W2381330492 title "Improved Modular PCA Method and Its Application in Face Recognition" @default.
- W2381330492 hasPublicationYear "2008" @default.
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