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- W2363660938 abstract "The paper researched the problem of face recognition.Face image is affected by the factors of beam,expression and location,etc,and it has characters of complex multi-scale.Traditional face recognition algorithm can only exact the face's local or global characteristics,but it cannot describe the face image accurately,which leads to the low accuracy of recognition.In order to improve the accuracy of recognition,we proposed an algorithm in which wavelet decomposition was combined with LBP operator(WTLBP).Firstly,it decomposed face image with wavelet transform and divided the face image into large scale and small scale images.Then,LBP operators were adopted to extract the multi-scale characters of face image.At last,it recognized the face by the means of probability statistics.The simulation experiments were carried out based on ORL face library,and the results show that WTLBP can extract the more local and global information of face image,and it has the strong robustness against the change of illumination,expression and location.It has improved the face recognition rate markedly." @default.
- W2363660938 created "2016-06-24" @default.
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- W2363660938 date "2012-01-01" @default.
- W2363660938 modified "2023-09-23" @default.
- W2363660938 title "Simulation of Face Recognition Based on mixed Features Algorithm" @default.
- W2363660938 hasPublicationYear "2012" @default.
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