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- W2354917890 abstract "In allusion to the characters of human face, the extracting method and matching algorithm in S2 layer template of standard model are improved. And the shift-invariance range of characters in C2 layer is redefined. The simple all-pairs linear Support Vector Machine (SVM) is adopted in classifier. The results of classification and recognition based on normal face database ORL and Yale show that the improved model can recognize the face image more exactly and quickly, and the recognition accuracy could respectively achieve 99.86% and 97.23%." @default.
- W2354917890 created "2016-06-24" @default.
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- W2354917890 date "2008-01-01" @default.
- W2354917890 modified "2023-09-26" @default.
- W2354917890 title "Design of Face Recognition Based on Biologic Visual Model" @default.
- W2354917890 hasPublicationYear "2008" @default.
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