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Proceedings Paper

Optimal K-L transform method for feature extraction
Author(s): Jian Yang; Jingyu Yang
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Paper 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.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441457
Show Author Affiliations
Jian Yang, Nanjing Univ. of Science and Technology (China)
Jingyu Yang, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

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