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This paper studied 2DPCA (two-dimensional principal component analysis) principal component feature vectors for face recognition, it found that different principal component had the different role, and then it studied 2DPCA principal component uncertainty, it is good to distinguish 2DPCA principal component role. Using uncertainty knowledge to calculate the weights of 2DPCA principal components, and...
In face recognition multi-scales Gabor features contain a large amount of redundant information and the value of the features are different from each other. The paper proposes multi-scales Gabor uncertainty weighted fusion algorithm in face recognition, multi-scales Gabor features were used to show facial features firstly, and then weights and uncertainties were calculated to get the last facial feature...
Human face recognition is a widely used biological recognition technology, and a core issue of safeguard. The embedded face recognition system is based on MagicARM2410 development board, including transplantation of Linux operating system, the development of drivers, detecting face by using face class Haar feature, and then recognizing face by using Gabor features and PCA transform algorithm. By testing...
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