Optimal K-L transform method for feature extraction

Abstract
A combined optimal K-L expansion method (COKLT) is proposed in this paper. The first (c-1) axes of COKLT are Fisher criterion optimal, and the others are the entropy criterion optimal. The experimental results on CENPARMI handwritten numeral database show that the proposed method is effective.

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