• DocumentCode
    2390171
  • Title

    Study of human finger vein features extraction algorithm based on DM6437

  • Author

    Xianming, Xiong ; Jian, Chen ; Surong, Yang ; Dapeng, Cheng

  • Author_Institution
    Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2010
  • fDate
    6-8 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    By analyzing the characteristics of human finger veins image, an extracting method based on gray valley-shaped region searching is proposed, namely, using the profile curve valley-shaped characteristics of finger veins image to achieve the veins features extraction. In order to obtain the full extraction, image preprocessing is conducted preliminary, and a system for testing algorithm and its execution time based on DM6437 platform is established. The results show that: the algorithm is unique, easy to implement, and satisfactory effects for finger veins features extraction are realized. Furthermore, the execution time of the optimized algorithm can be used to the engineering applications.
  • Keywords
    blood vessels; feature extraction; fingerprint identification; DM6437; features extraction; human finger veins; valley-shaped region searching; Biomedical imaging; Image recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-7369-4
  • Type

    conf

  • DOI
    10.1109/ISPACS.2010.5704693
  • Filename
    5704693