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One Sample Image Recognition Algorithm based on Improved Sub-pattern Principle Component Analysis
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
In order to improve the recognition performance of one sample image per person, this paper proposed a one sample image recognition algorithm based on improved sub-pattern principle component analysis. Firstly, the face is divided into some blocks, and Sub-pattern PCA is used to extract features, and then information entropy is used to assign proper weights of blocks features, finally, support vector machine is used recognize the face and the experimental results are carried out on some face
doi:10.14257/ijsip.2015.8.9.08
fatcat:mys4btybxnd7hmkatvrpkbq2ji