Optimal K-L transform method for feature extraction

Jian Yang; Jingyu Yang

doi:10.1117/12.441457

21 September 2001 Optimal K-L transform method for feature extraction

Jian Yang, Jingyu Yang

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441457
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Jian Yang and Jingyu Yang "Optimal K-L transform method for feature extraction", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441457

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