• DocumentCode
    147789
  • Title

    A new approach stereo based palmprint extraction in unrestricted postures

  • Author

    Bingol, Ozkan ; Ekinci, Murat ; Gokdogan, Ahmet

  • Author_Institution
    Software Eng., Gumushane Univ., Gümüşhane, Turkey
  • fYear
    2014
  • fDate
    17-17 Oct. 2014
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    Regarding the palms recognition system studies, despite achieving a high success rate, hygiene problems in systems with contact and problems arising from changes in the alignment of the hand pose in non-contact ones have been encountered. To resolve these problems, 3D palmprint recognition systems have been developed, however these systems have not had the opportunity to spread due to expensive technologies used as well as low screening rates. In this study, to calculate the position and orientation of a palm in 3D space, a stereo camera system is proposed, with the help of these values by adjusting the geometric image of the palm is converted to a 2D environment. From these images, patterns used for recognition are extracted by using Active Appearance Models. Thus a non-contact system has been achieved, but also patterns that can be used by powerful 2D recognition systems have also been produced.
  • Keywords
    palmprint recognition; stereo image processing; 2D environment; 2D recognition system; 3D palmprint recognition system; active appearance model; geometric image; hand pose; hygiene problem; noncontact system; palms recognition system; screening rate; stereo based palmprint extraction; stereo camera system; unrestricted postures; Active appearance model; Cameras; Databases; Pattern recognition; Shape; Three-dimensional displays; Vectors; AAM; contactless palmprint system; palmprint extraction; stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings, 2014 IEEE Workshop on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-5175-8
  • Type

    conf

  • DOI
    10.1109/BIOMS.2014.6951534
  • Filename
    6951534