• DocumentCode
    2133824
  • Title

    Research of dual-model recognition algorithm based on finger vein and finger crease

  • Author

    Fengxu Guan ; Qiu-yu Wu ; Zhi-chao Jiang ; Ke-jun Wang

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    358
  • Lastpage
    361
  • Abstract
    The advantages of finger vein are in vivo identification, internal features, non-contact and security, but it´s identified features are insufficient. Finger crease is in the surface of finger skin, and it has some stable biological features. So a finger has two kinds of biological features. Combined with the advantages and the disadvantages of finger vein and finger crease, a new dual-model recognition algorithm based on finger vein and finger crease is presented. First, the finger vein image and the finger crease image of a finger are acquired and preprocessed Separately. Second, the two types of images are fused based on pixel-level image. Finally, feature extraction and recognition are researched for the fused images. Experimental results on our database of finger vein images and finger crease images show that the recognition of dual-model method presented is higher than the recognition of single-model finger vein.
  • Keywords
    feature extraction; image fusion; skin; vein recognition; biological features; dual-model recognition algorithm; feature extraction; finger crease image preprocessing; finger skin; finger vein image preprocessing; image fusion; in vivo identification; pixel-level image; dual-model recognition; finger crease; finger vein; pixel-level fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-1183-0
  • Type

    conf

  • DOI
    10.1109/BMEI.2012.6513014
  • Filename
    6513014