Title :
Slant Discriminant Analysis for Image Feature Extraction
Author :
Li-Yan Zhao ; Dong Zou ; Guanghong Gao
Author_Institution :
Dept. of Math., Heihe Coll., Heihe, China
Abstract :
In this paper, a novel feature extraction algorithm,called Slant discriminant analysis (SDA), is proposed. SDA aims to use the relation of rows and columns of image samples to extract the directional feature of the image samples. The proposed algorithm is applied to image classification on Yale face Database.The experimental results demonstrate the effectiveness of the proposed algorithm.
Keywords :
feature extraction; image classification; image sampling; SDA; Yale face database; directional feature extraction; image classification; image feature extraction; image samples; slant discriminant analysis; Algorithm design and analysis; Face; Face recognition; Feature extraction; Prototypes; Signal processing algorithms; Training; Index TermsSubspace learning; image feature extraction;;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
DOI :
10.1109/IIH-MSP.2013.97
