Title :
Directional Discriminant Analysis for Image Feature Extraction
Author :
Dong Zou ; Li-Yan Zhao
Author_Institution :
Dept. of Sci. Res., Heihe Coll., Heihe, China
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;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
DOI :
10.1109/ICGEC.2012.84
