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In order to enhance the classification accuracy of the two-dimensional feature of the image, the idea of a separate classification for each projection direction feature is proposed in this paper. Our method first divides the image into blocks and finds the two-dimensional sub-projection matrix of each sub-block, and then completes the feature extraction by using each column of the projection matrix...
To make use of information contained in the null space of withinclass during the implementation of discriminant locality preserving projection(DLPP), a very efficient feature extraction algorithm called two-dimensional direct discriminant LPP (2D-DDLPP) algorithm is proposed for face recognition in this paper. By modifying the simultaneous diagonalization procedure, the null space of the interclass...
In this paper, we investigate the effects that the lossy image compression has on the performance competitive codes of palmprint verification algorithms. Effects of lossy compression on palmprint recognition performance are of interest in applications where image storage space and transmission time are of critical importance. To reconcile that goal with its implications for bandwidth and storage,...
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