• DocumentCode
    674243
  • Title

    A multi-finger knuckle recognition system for door handle

  • Author

    Aoyama, Shoichiro ; Ito, Kei ; Aoki, Toyohiro

  • Author_Institution
    Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
  • fYear
    2013
  • fDate
    Sept. 29 2013-Oct. 2 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper proposes a multi-finger knuckle recognition system for a door handle. The proposed system consists of simple hardware such as a camera and a near-infrared light source. This paper has also proposed a baseline recognition algorithm for multi-finger knuckles. The proposed algorithm consists of the region of interest (ROI) extraction and ROI matching. From the captured image, the ROI around phalangeal joint is extracted using vertical and horizontal projections. There is a large deformation between extracted ROIs due to the position of hand. To address a large deformation, the proposed algorithm employs the phase-based correspondence matching to evaluate the similarity between ROIs. Through a set of experiments, we demonstrate that the proposed baseline algorithm exhibits good performance compared with the conventional finger knuckle recognition algorithms.
  • Keywords
    feature extraction; image matching; image recognition; ROI extraction; ROI matching; baseline recognition algorithm; door handle; horizontal projection; multi finger knuckle recognition system; phalangeal joint; phase-based correspondence matching; region of interest extraction; vertical projection; Authentication; Cameras; Indexes; Joints; Light sources; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on
  • Conference_Location
    Arlington, VA
  • Type

    conf

  • DOI
    10.1109/BTAS.2013.6712740
  • Filename
    6712740