On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification

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15th International Conference on Pattern Recognition (ICPR'00) - Volume 2

Barcelona, Spain

September 03-September 08

ISBN: 0-7695-0750-6

	ASCII Text	x
	Jiang Gao, Xiaoqing Ding, "On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification," Pattern Recognition, International Conference on, vol. 2, pp. 2101, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000.

	BibTex	x
	@article{ 10.1109/ICPR.2000.906026, author = {Jiang Gao and Xiaoqing Ding}, title = {On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2000}, isbn = {0-7695-0750-6}, pages = {2101}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906026}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification SN - 0-7695-0750-6 SP EP A1 - Jiang Gao, A1 - Xiaoqing Ding, PY - 2000 VL - 2 JA - Pattern Recognition, International Conference on ER -

Jiang Gao

Xiaoqing Ding

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906026

Two new feature extraction strategies-modified multiple discriminant analysis (MMDA) and difference principal component analysis (DPCA)-are presented and derived. The proposed algorithms are especially useful in automatic feature extraction from patterns in a small category set. Experimental results for recognition of Chinese character fonts and handwritten numerals using MMDA and DPCA are presented. Compared with the traditional algorithms, MMDA and DPCA provide more effective feature metrics for pattern discrimination in some settings.

Citation:

Jiang Gao, Xiaoqing Ding, "On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification," icpr, vol. 2, pp.2101, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000

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