Directional Discriminant Analysis for Image Feature Extraction

Author

Dong Zou ; Li-Yan Zhao

Author_Institution

Dept. of Sci. Res., Heihe Coll., Heihe, China

fYear

2012

fDate

25-28 Aug. 2012

Firstpage

43

Lastpage

46

Abstract

In this paper, two novel image feature extraction algorithms base on Directional Filter Banks are proposed, which are named Single Directional Two-Dimensional Linear Discriminant Analysis (SD2DLDA) and Multiple Directional Two-Dimensional Linear Discriminant Analysis (MD2DLDA). the SD2DLDA takes least running time while achieves high recognition rate and the MD2DLDA can get the higher recognition rate than other popular algorithms. Experimental results confirm the advantages of SD2DLDA and MD2DLDA.

Keywords

channel bank filters; feature extraction; image classification; MD2DLDA; SD2DLDA; directional discriminant analysis; directional filter banks; image classification; image feature extraction; multiple directional two-dimensional linear discriminant analysis; single directional two-dimensional linear discriminant analysis; Algorithm design and analysis; Databases; Face; Face recognition; Feature extraction; Filter banks; Principal component analysis; Directional filter banks; Image feature extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on

Conference_Location

Kitakushu

Print_ISBN

978-1-4673-2138-9

Type

conf

DOI

10.1109/ICGEC.2012.84

Filename

6457171