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- W2355359738 abstract "Currently face recognition has made some success, algorithms are constantly being improved. According to the common needs of the average sample solution in traditional linear analysis methods, this paper proposes the face recognition based on intermediate samples. This method can remove the influence of average samplest o interference samples. Combined with the color of face recognition, the paper proposes color facial identification feature extraction and automatic identification based on the middle samples. Finally, extensive experimentsp erformed on the international and universal AR standard color face database verify the effectiveness of the proposed method." @default.
- W2355359738 created "2016-06-24" @default.
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- W2355359738 date "2011-01-01" @default.
- W2355359738 modified "2023-10-11" @default.
- W2355359738 title "A New Color Facial Identification Feature Extraction Method and Automatic Identification" @default.
- W2355359738 hasPublicationYear "2011" @default.
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