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This paper provides an example of the face recognition using SIFT-PCA method and impact of Graph Based segmentation algorithm on recognition rate. Principle component analysis (PCA) is a multivariate technique that analyzes a face data in which observation are described by several inter-correlated dependent variables. The goal is to extract the important information from the face data, to represent...
This paper provides an example of the 2D face recognition using existing LDA method and our proposed method based on CCA. LDA is a popular feature extraction technique for face recognition. Likewise, the CCA as a novel method is applied to image processing and biometrics too. CCA is a powerful multivariate analysis method and for that case it was applied on faces recognition. In the paper, a proposed...
This paper provides an example of the face recognition using PCA method and impact of segmentation algorithm ‘Belief Propagation’ on recognition rate. Principle component analysis (PCA) is a multivariate technique that analyzes a face data in which observation are described by several inter-correlated dependent variables. The goal is to extract the important information from the face data, to represent...
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