New Variants of the SDF Classifier
This paper is addressing problems related to the construction of classifiers in which the typical vector representation of a pattern is replaced with matrix data. We introduce some new variants of the method based on the Similarity Discriminant Function (SDF). The algorithms were tested on images of handwritten digits and on the photographs of human faces. On the basis of the experiments we can state that our modifications improved the performance of the SDF classifier.
KeywordsFeature Vector Recognition Rate Handwritten Digit Face Recognition System Projection Axis
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