• DocumentCode
    2594037
  • Title

    Fingerprint Indexing Based On Symmetrical Measurement

  • Author

    Li, Jun ; Yau, Wei-Yun ; Wang, Han

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1038
  • Lastpage
    1041
  • Abstract
    Due to the small number of classes and uneven distribution, the Henry´s fingerprint classification approach is not able to provide an efficient way to narrow down the search when identifying a person in a large database. In this paper, three symmetrical filters are used to measure different orientation structures. We proposed a new fingerprint indexing approach based on these three symmetrical measurements. Experiments conducted on the NIST database 4 show the effectiveness of the proposed approach
  • Keywords
    fingerprint identification; image classification; fingerprint indexing; symmetrical filter; symmetrical measurement; Costs; Data engineering; Euclidean distance; Filters; Fingerprint recognition; Fingers; Humans; Karhunen-Loeve transforms; NIST; 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.2006.568
  • Filename
    1699066