Title :
Subsampling Based Neighborhood Preserving Embedding for Image Classification
Author :
Li-Yan Zhao ; Dong Zou ; Guanghong Gao
Author_Institution :
Dept. of Math., Heihe Coll., Heihe, China
Abstract :
In this paper, a novel image feature extraction algorithm, called Subsampling based neighborhood preserving embedding (SNPE), is proposed. SNPE aims to preserve the neighborhood of the subsampling image samples. The proposed algorithm is applied to image classification on Finger-Knuckle-Print database. The experimental results confirm the effectiveness of the proposed algorithm.
Keywords :
feature extraction; image classification; image sampling; Finger-Knuckle-Print database; SNPE; image classification; image feature extraction algorithm; subsampling based neighborhood preserving embedding; subsampling image samples; Algorithm design and analysis; Databases; Face; Face recognition; Feature extraction; Prototypes; Signal processing algorithms; 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.2013.96
