• DocumentCode
    3132281
  • Title

    Acquisition and Preprocessing of Hand Vein Image

  • Author

    Sheng, Ming-Yu ; Zhao, Yuan ; Liu, Fu-Qiang ; Hu, Qiao-Duo ; 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
    8-9 Oct. 2011
  • Firstpage
    251
  • Lastpage
    253
  • Abstract
    Hand vein biometric identification technology has become a new research direction in domestic and international identification system. The set of hand vein image acquisition devices was designed and the light source parameters were optimized according to the image mean and standard deviation. Image preprocessing algorithm was used to further improve the image quality. Threshold method was used to remove the image background, and the image gray was normalized. It is show that the high-quality images can be obtained by using Optimized parameters acquisition device and image preprocessing procedure. The image acquisition system and pre-processing algorithm provide a good platform for further vein image feature extraction and matching.
  • Keywords
    blood vessels; feature extraction; image colour analysis; image matching; optimisation; palmprint recognition; domestic identification system; hand vein biometric identification technology; hand vein image; image acquisition system; image background; image feature extraction; image gray; image matching; image preprocessing; image quality; international identification system; optimized parameters acquisition; Cameras; Educational institutions; Feature extraction; Light sources; Thumb; Veins; Vein recognition; image normalization; image preprocessing; threshold segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4577-1788-8
  • Type

    conf

  • DOI
    10.1109/KAM.2011.74
  • Filename
    6137628