Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
487489 | Procedia Computer Science | 2015 | 10 Pages |
Abstract
This paper develops a new Face Recognition System which combines R-KDA for selecting optimal discriminant features with non-linear SVM for Recognition. Experiment results have been conducted showing the comparison of enhanced efficiency of our proposed system over R-KDA with k-nn as the similarity distance measure.
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