• DocumentCode
    2607937
  • Title

    Hierarchical Identification of Palmprint using Line-based Hough Transform

  • Author

    Li, Fang ; Leung, Maylor K H

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    4
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    The Hough transform (HT) is a powerful technique for line detection. Its main advantage is that it is relatively unaffected by noise or gaps in lines. This work proposes a line-based Hough transform method, which extracts global features for coarse-level filtering in hierarchical palmprint identification system. The local information extracted from position and orientation of individual line is used for further fine-level identification. Line-based Hausdorff distance (LHD) algorithm is applied for local line matching. This is a novel approach to the application of the Hough transform for feature extraction of palmprint. Experiments had been conducted on a palmprint database collected by Hong Kong Polytechnic University. 99% identification rate has been achieved with much reduced running time
  • Keywords
    Hough transforms; feature extraction; filtering theory; image recognition; Hausdorff distance; Hough transform; coarse-level filtering; fine-level identification; global feature extraction; hierarchical palmprint identification; information extraction; line detection; local line matching; palmprint database; palmprint feature extraction; Data mining; Feature extraction; Filtering; Image databases; Image edge detection; Object oriented databases; Pattern recognition; Power engineering and energy; Power engineering computing; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.622
  • Filename
    1699803