• DocumentCode
    692015
  • 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
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    358
  • Lastpage
    360
  • 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;;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2013.96
  • Filename
    6846652
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=692015