Share Email Print
cover

Proceedings Paper

Algebraic feature extraction for image recognition
Author(s): Ke Liu; Ying-Jiang Liu; Yong-Qing Cheng; Jingyu Yang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A novel algebraic feature extraction method for image recognition is presented. For the training image samples, a set of optimal discriminant projection vectors are calculated according to a generalized Fisher criterion function. On the basis of the optimal discriminant projection vector, the algebraic feature vectors of an image can be extracted by projecting the image onto all optimal discriminant projection vectors. Experimental results shows that the algebraic features extracted by the presented method have good recognition performance.

Paper Details

Date Published: 26 March 1993
PDF: 7 pages
Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); doi: 10.1117/12.142204
Show Author Affiliations
Ke Liu, East China Institute of Technology (China)
Ying-Jiang Liu, East China Institute of Technology (China)
Yong-Qing Cheng, East China Institute of Technology (China)
Jingyu Yang, East China Institute of Technology (China)


Published in SPIE Proceedings Vol. 1819:
Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II
Mark J. Carlotto, Editor(s)

© SPIE. Terms of Use
Back to Top