• DocumentCode
    3021671
  • Title

    Quantitative assessment of hand vein image quality with double spatial indicators

  • Author

    Sheng, Ming-Yu ; Zhao, Yuan ; Zhang, Da-Wei ; Zhuang, Song-Lin

  • Author_Institution
    Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    642
  • Lastpage
    645
  • Abstract
    Recognition of hand vein is becoming a research focus in biological recognition field, due to its particular advantage of uniqueness and livingness. The acquisition of clear vein image is an important premise for recognition. A quantitative assessment method of image quality is proposed based on two spatial indicators. It is shows that the relationship between the quantitative score of vein image and the drive current of near infrared light source obeys the cubic polynomial relationship. When the driven current equals 0.524 A, the image quality is optimal, and the corresponding score is 90.4. The quantitative self-consistent method developed in this work also can be applied to other digital image in more general applications.
  • Keywords
    image recognition; infrared imaging; light sources; medical image processing; polynomials; biological recognition field; cubic polynomial relationship; digital image; double spatial indicator; hand vein image quality; hand vein recognition; near infrared light source; quantitative assessment; quantitative score; quantitative self consistent method; Fingerprint recognition; Image quality; Image recognition; Light sources; Veins; Image quality evaluation; Vein recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6001672
  • Filename
    6001672